Zipf1 All Model Test Data Result Combined
Result
Model Summaries
| Model |
Better than base % of the times |
| LR_10[cache_size=0.001,treshold=0.3] |
0 |
| LR_10[cache_size=0.001,treshold=0.5] |
0 |
| LR_10[cache_size=0.001,treshold=0.6] |
0 |
| LR_10[cache_size=0.001,treshold=0.7] |
0 |
| LR_10[cache_size=0.001,treshold=0.8] |
0 |
| LR_10[cache_size=0.001,treshold=0.9] |
100 |
| LR_10[cache_size=All,treshold=0.3] |
0 |
| LR_10[cache_size=All,treshold=0.5] |
0 |
| LR_10[cache_size=All,treshold=0.6] |
0 |
| LR_10[cache_size=All,treshold=0.7] |
0 |
| LR_10[cache_size=All,treshold=0.8] |
0 |
| LR_10[cache_size=All,treshold=0.9] |
0 |
| LR_11[cache_size=0.001,treshold=0.3] |
0 |
| LR_11[cache_size=0.001,treshold=0.5] |
0 |
| LR_11[cache_size=0.001,treshold=0.6] |
0 |
| LR_11[cache_size=0.001,treshold=0.7] |
0 |
| LR_11[cache_size=0.001,treshold=0.8] |
0 |
| LR_11[cache_size=0.001,treshold=0.9] |
100 |
| LR_11[cache_size=All,treshold=0.3] |
0 |
| LR_11[cache_size=All,treshold=0.5] |
0 |
| LR_11[cache_size=All,treshold=0.6] |
0 |
| LR_11[cache_size=All,treshold=0.7] |
0 |
| LR_11[cache_size=All,treshold=0.8] |
0 |
| LR_11[cache_size=All,treshold=0.9] |
0 |
| LR_12[cache_size=0.001,treshold=0.3] |
0 |
| LR_12[cache_size=0.001,treshold=0.5] |
0 |
| LR_12[cache_size=0.001,treshold=0.6] |
0 |
| LR_12[cache_size=0.001,treshold=0.7] |
0 |
| LR_12[cache_size=0.001,treshold=0.8] |
0 |
| LR_12[cache_size=0.001,treshold=0.9] |
100 |
| LR_12[cache_size=All,treshold=0.3] |
0 |
| LR_12[cache_size=All,treshold=0.5] |
0 |
| LR_12[cache_size=All,treshold=0.6] |
0 |
| LR_12[cache_size=All,treshold=0.7] |
0 |
| LR_12[cache_size=All,treshold=0.8] |
0 |
| LR_12[cache_size=All,treshold=0.9] |
0 |
| LR_13[cache_size=0.001,treshold=0.3] |
0 |
| LR_13[cache_size=0.001,treshold=0.5] |
0 |
| LR_13[cache_size=0.001,treshold=0.6] |
0 |
| LR_13[cache_size=0.001,treshold=0.7] |
0 |
| LR_13[cache_size=0.001,treshold=0.8] |
0 |
| LR_13[cache_size=0.001,treshold=0.9] |
0 |
| LR_13[cache_size=All,treshold=0.3] |
0 |
| LR_13[cache_size=All,treshold=0.5] |
20 |
| LR_13[cache_size=All,treshold=0.6] |
0 |
| LR_13[cache_size=All,treshold=0.7] |
0 |
| LR_13[cache_size=All,treshold=0.8] |
0 |
| LR_13[cache_size=All,treshold=0.9] |
0 |
| LR_14[cache_size=0.001,treshold=0.3] |
0 |
| LR_14[cache_size=0.001,treshold=0.5] |
0 |
| LR_14[cache_size=0.001,treshold=0.6] |
0 |
| LR_14[cache_size=0.001,treshold=0.7] |
0 |
| LR_14[cache_size=0.001,treshold=0.8] |
0 |
| LR_14[cache_size=0.001,treshold=0.9] |
0 |
| LR_14[cache_size=All,treshold=0.3] |
0 |
| LR_14[cache_size=All,treshold=0.5] |
20 |
| LR_14[cache_size=All,treshold=0.6] |
0 |
| LR_14[cache_size=All,treshold=0.7] |
0 |
| LR_14[cache_size=All,treshold=0.8] |
0 |
| LR_14[cache_size=All,treshold=0.9] |
0 |
| LR_15[cache_size=0.001,treshold=0.3] |
0 |
| LR_15[cache_size=0.001,treshold=0.5] |
0 |
| LR_15[cache_size=0.001,treshold=0.6] |
0 |
| LR_15[cache_size=0.001,treshold=0.7] |
0 |
| LR_15[cache_size=0.001,treshold=0.8] |
0 |
| LR_15[cache_size=0.001,treshold=0.9] |
0 |
| LR_15[cache_size=All,treshold=0.3] |
0 |
| LR_15[cache_size=All,treshold=0.5] |
20 |
| LR_15[cache_size=All,treshold=0.6] |
0 |
| LR_15[cache_size=All,treshold=0.7] |
0 |
| LR_15[cache_size=All,treshold=0.8] |
0 |
| LR_15[cache_size=All,treshold=0.9] |
0 |
| LR_1[cache_size=0.001,treshold=0.5] |
0 |
| LR_1[cache_size=All,treshold=0.5] |
0 |
| LR_1_log[cache_size=0.001,treshold=0.5] |
0 |
| LR_1_log[cache_size=All,treshold=0.5] |
0 |
| LR_1_mean[cache_size=0.001,treshold=0.5] |
0 |
| LR_1_mean[cache_size=All,treshold=0.5] |
20 |
| LR_1_robust_scaler[cache_size=0.001,treshold=0.5] |
0 |
| LR_1_robust_scaler[cache_size=All,treshold=0.5] |
0 |
| LR_1_std_scaler[cache_size=0.001,treshold=0.5] |
0 |
| LR_1_std_scaler[cache_size=All,treshold=0.5] |
0 |
| LR_2[cache_size=0.001,treshold=0.5] |
0 |
| LR_2[cache_size=All,treshold=0.5] |
0 |
| LR_2_log[cache_size=0.001,treshold=0.5] |
0 |
| LR_2_log[cache_size=All,treshold=0.5] |
0 |
| LR_2_mean[cache_size=0.001,treshold=0.5] |
0 |
| LR_2_mean[cache_size=All,treshold=0.5] |
20 |
| LR_3[cache_size=0.001,treshold=0.5] |
0 |
| LR_3[cache_size=All,treshold=0.5] |
0 |
| LR_3_log[cache_size=0.001,treshold=0.5] |
0 |
| LR_3_log[cache_size=All,treshold=0.5] |
0 |
| LR_3_mean[cache_size=0.001,treshold=0.5] |
0 |
| LR_3_mean[cache_size=All,treshold=0.5] |
0 |
| LR_4[cache_size=0.001,treshold=0.5] |
0 |
| LR_4[cache_size=All,treshold=0.5] |
0 |
| LR_4_log[cache_size=0.001,treshold=0.5] |
0 |
| LR_4_log[cache_size=All,treshold=0.5] |
0 |
| LR_4_mean[cache_size=0.001,treshold=0.5] |
0 |
| LR_4_mean[cache_size=All,treshold=0.5] |
0 |
| LR_4_robust_scaler[cache_size=0.001,treshold=0.5] |
0 |
| LR_4_robust_scaler[cache_size=All,treshold=0.5] |
0 |
| LR_4_std_scaler[cache_size=0.001,treshold=0.5] |
0 |
| LR_4_std_scaler[cache_size=All,treshold=0.5] |
0 |
| LR_5[cache_size=0.001,treshold=0.5] |
0 |
| LR_5[cache_size=All,treshold=0.5] |
0 |
| LR_5_imba[cache_size=0.001,treshold=0.5] |
0 |
| LR_5_imba[cache_size=All,treshold=0.5] |
0 |
| LR_6[cache_size=0.001,treshold=0.5] |
0 |
| LR_6[cache_size=All,treshold=0.5] |
0 |
| LR_6_imba[cache_size=0.001,treshold=0.5] |
0 |
| LR_6_imba[cache_size=All,treshold=0.5] |
0 |
| LR_7[cache_size=0.001,treshold=0.3] |
0 |
| LR_7[cache_size=0.001,treshold=0.5] |
0 |
| LR_7[cache_size=0.001,treshold=0.6] |
0 |
| LR_7[cache_size=0.001,treshold=0.7] |
0 |
| LR_7[cache_size=0.001,treshold=0.8] |
0 |
| LR_7[cache_size=0.001,treshold=0.9] |
100 |
| LR_7[cache_size=All,treshold=0.3] |
0 |
| LR_7[cache_size=All,treshold=0.5] |
0 |
| LR_7[cache_size=All,treshold=0.6] |
0 |
| LR_7[cache_size=All,treshold=0.7] |
0 |
| LR_7[cache_size=All,treshold=0.8] |
0 |
| LR_7[cache_size=All,treshold=0.9] |
0 |
| LR_8[cache_size=0.001,treshold=0.3] |
0 |
| LR_8[cache_size=0.001,treshold=0.5] |
0 |
| LR_8[cache_size=0.001,treshold=0.6] |
0 |
| LR_8[cache_size=0.001,treshold=0.7] |
0 |
| LR_8[cache_size=0.001,treshold=0.8] |
0 |
| LR_8[cache_size=0.001,treshold=0.9] |
100 |
| LR_8[cache_size=All,treshold=0.3] |
0 |
| LR_8[cache_size=All,treshold=0.5] |
0 |
| LR_8[cache_size=All,treshold=0.6] |
0 |
| LR_8[cache_size=All,treshold=0.7] |
0 |
| LR_8[cache_size=All,treshold=0.8] |
0 |
| LR_8[cache_size=All,treshold=0.9] |
0 |
| LR_9[cache_size=0.001,treshold=0.3] |
0 |
| LR_9[cache_size=0.001,treshold=0.5] |
0 |
| LR_9[cache_size=0.001,treshold=0.6] |
0 |
| LR_9[cache_size=0.001,treshold=0.7] |
0 |
| LR_9[cache_size=0.001,treshold=0.8] |
0 |
| LR_9[cache_size=0.001,treshold=0.9] |
100 |
| LR_9[cache_size=All,treshold=0.3] |
0 |
| LR_9[cache_size=All,treshold=0.5] |
0 |
| LR_9[cache_size=All,treshold=0.6] |
0 |
| LR_9[cache_size=All,treshold=0.7] |
0 |
| LR_9[cache_size=All,treshold=0.8] |
0 |
| LR_9[cache_size=All,treshold=0.9] |
0 |
| LR_10[cache_size=0.01,treshold=0.3] |
0 |
| LR_10[cache_size=0.01,treshold=0.5] |
0 |
| LR_10[cache_size=0.01,treshold=0.6] |
0 |
| LR_10[cache_size=0.01,treshold=0.7] |
0 |
| LR_10[cache_size=0.01,treshold=0.8] |
0 |
| LR_10[cache_size=0.01,treshold=0.9] |
0 |
| LR_11[cache_size=0.01,treshold=0.3] |
0 |
| LR_11[cache_size=0.01,treshold=0.5] |
0 |
| LR_11[cache_size=0.01,treshold=0.6] |
0 |
| LR_11[cache_size=0.01,treshold=0.7] |
0 |
| LR_11[cache_size=0.01,treshold=0.8] |
0 |
| LR_11[cache_size=0.01,treshold=0.9] |
0 |
| LR_12[cache_size=0.01,treshold=0.3] |
0 |
| LR_12[cache_size=0.01,treshold=0.5] |
0 |
| LR_12[cache_size=0.01,treshold=0.6] |
0 |
| LR_12[cache_size=0.01,treshold=0.7] |
0 |
| LR_12[cache_size=0.01,treshold=0.8] |
0 |
| LR_12[cache_size=0.01,treshold=0.9] |
0 |
| LR_13[cache_size=0.01,treshold=0.3] |
0 |
| LR_13[cache_size=0.01,treshold=0.5] |
0 |
| LR_13[cache_size=0.01,treshold=0.6] |
0 |
| LR_13[cache_size=0.01,treshold=0.7] |
0 |
| LR_13[cache_size=0.01,treshold=0.8] |
0 |
| LR_13[cache_size=0.01,treshold=0.9] |
0 |
| LR_14[cache_size=0.01,treshold=0.3] |
0 |
| LR_14[cache_size=0.01,treshold=0.5] |
0 |
| LR_14[cache_size=0.01,treshold=0.6] |
0 |
| LR_14[cache_size=0.01,treshold=0.7] |
0 |
| LR_14[cache_size=0.01,treshold=0.8] |
0 |
| LR_14[cache_size=0.01,treshold=0.9] |
0 |
| LR_15[cache_size=0.01,treshold=0.3] |
0 |
| LR_15[cache_size=0.01,treshold=0.5] |
0 |
| LR_15[cache_size=0.01,treshold=0.6] |
0 |
| LR_15[cache_size=0.01,treshold=0.7] |
0 |
| LR_15[cache_size=0.01,treshold=0.8] |
0 |
| LR_15[cache_size=0.01,treshold=0.9] |
0 |
| LR_1[cache_size=0.01,treshold=0.5] |
0 |
| LR_1_log[cache_size=0.01,treshold=0.5] |
0 |
| LR_1_mean[cache_size=0.01,treshold=0.5] |
0 |
| LR_1_robust_scaler[cache_size=0.01,treshold=0.5] |
0 |
| LR_1_std_scaler[cache_size=0.01,treshold=0.5] |
0 |
| LR_2[cache_size=0.01,treshold=0.5] |
0 |
| LR_2_log[cache_size=0.01,treshold=0.5] |
0 |
| LR_2_mean[cache_size=0.01,treshold=0.5] |
0 |
| LR_3[cache_size=0.01,treshold=0.5] |
0 |
| LR_3_log[cache_size=0.01,treshold=0.5] |
0 |
| LR_3_mean[cache_size=0.01,treshold=0.5] |
0 |
| LR_4[cache_size=0.01,treshold=0.5] |
0 |
| LR_4_log[cache_size=0.01,treshold=0.5] |
0 |
| LR_4_mean[cache_size=0.01,treshold=0.5] |
0 |
| LR_4_robust_scaler[cache_size=0.01,treshold=0.5] |
0 |
| LR_4_std_scaler[cache_size=0.01,treshold=0.5] |
0 |
| LR_5[cache_size=0.01,treshold=0.5] |
0 |
| LR_5_imba[cache_size=0.01,treshold=0.5] |
0 |
| LR_6[cache_size=0.01,treshold=0.5] |
0 |
| LR_6_imba[cache_size=0.01,treshold=0.5] |
0 |
| LR_7[cache_size=0.01,treshold=0.3] |
0 |
| LR_7[cache_size=0.01,treshold=0.5] |
0 |
| LR_7[cache_size=0.01,treshold=0.6] |
0 |
| LR_7[cache_size=0.01,treshold=0.7] |
0 |
| LR_7[cache_size=0.01,treshold=0.8] |
0 |
| LR_7[cache_size=0.01,treshold=0.9] |
100 |
| LR_8[cache_size=0.01,treshold=0.3] |
0 |
| LR_8[cache_size=0.01,treshold=0.5] |
0 |
| LR_8[cache_size=0.01,treshold=0.6] |
0 |
| LR_8[cache_size=0.01,treshold=0.7] |
0 |
| LR_8[cache_size=0.01,treshold=0.8] |
0 |
| LR_8[cache_size=0.01,treshold=0.9] |
100 |
| LR_9[cache_size=0.01,treshold=0.3] |
0 |
| LR_9[cache_size=0.01,treshold=0.5] |
0 |
| LR_9[cache_size=0.01,treshold=0.6] |
0 |
| LR_9[cache_size=0.01,treshold=0.7] |
0 |
| LR_9[cache_size=0.01,treshold=0.8] |
0 |
| LR_9[cache_size=0.01,treshold=0.9] |
100 |
| LR_10[cache_size=0.1,treshold=0.3] |
0 |
| LR_10[cache_size=0.1,treshold=0.5] |
0 |
| LR_10[cache_size=0.1,treshold=0.6] |
0 |
| LR_10[cache_size=0.1,treshold=0.7] |
0 |
| LR_10[cache_size=0.1,treshold=0.8] |
0 |
| LR_10[cache_size=0.1,treshold=0.9] |
0 |
| LR_11[cache_size=0.1,treshold=0.3] |
0 |
| LR_11[cache_size=0.1,treshold=0.5] |
0 |
| LR_11[cache_size=0.1,treshold=0.6] |
0 |
| LR_11[cache_size=0.1,treshold=0.7] |
0 |
| LR_11[cache_size=0.1,treshold=0.8] |
0 |
| LR_11[cache_size=0.1,treshold=0.9] |
0 |
| LR_12[cache_size=0.1,treshold=0.3] |
0 |
| LR_12[cache_size=0.1,treshold=0.5] |
0 |
| LR_12[cache_size=0.1,treshold=0.6] |
0 |
| LR_12[cache_size=0.1,treshold=0.7] |
0 |
| LR_12[cache_size=0.1,treshold=0.8] |
0 |
| LR_12[cache_size=0.1,treshold=0.9] |
0 |
| LR_13[cache_size=0.1,treshold=0.3] |
0 |
| LR_13[cache_size=0.1,treshold=0.5] |
0 |
| LR_13[cache_size=0.1,treshold=0.6] |
0 |
| LR_13[cache_size=0.1,treshold=0.7] |
0 |
| LR_13[cache_size=0.1,treshold=0.8] |
0 |
| LR_13[cache_size=0.1,treshold=0.9] |
0 |
| LR_14[cache_size=0.1,treshold=0.3] |
0 |
| LR_14[cache_size=0.1,treshold=0.5] |
0 |
| LR_14[cache_size=0.1,treshold=0.6] |
0 |
| LR_14[cache_size=0.1,treshold=0.7] |
0 |
| LR_14[cache_size=0.1,treshold=0.8] |
0 |
| LR_14[cache_size=0.1,treshold=0.9] |
0 |
| LR_15[cache_size=0.1,treshold=0.3] |
0 |
| LR_15[cache_size=0.1,treshold=0.5] |
0 |
| LR_15[cache_size=0.1,treshold=0.6] |
0 |
| LR_15[cache_size=0.1,treshold=0.7] |
0 |
| LR_15[cache_size=0.1,treshold=0.8] |
0 |
| LR_15[cache_size=0.1,treshold=0.9] |
0 |
| LR_1[cache_size=0.1,treshold=0.5] |
0 |
| LR_1_log[cache_size=0.1,treshold=0.5] |
0 |
| LR_1_mean[cache_size=0.1,treshold=0.5] |
0 |
| LR_1_robust_scaler[cache_size=0.1,treshold=0.5] |
0 |
| LR_1_std_scaler[cache_size=0.1,treshold=0.5] |
0 |
| LR_2[cache_size=0.1,treshold=0.5] |
0 |
| LR_2_log[cache_size=0.1,treshold=0.5] |
0 |
| LR_2_mean[cache_size=0.1,treshold=0.5] |
0 |
| LR_3[cache_size=0.1,treshold=0.5] |
0 |
| LR_3_log[cache_size=0.1,treshold=0.5] |
0 |
| LR_3_mean[cache_size=0.1,treshold=0.5] |
0 |
| LR_4[cache_size=0.1,treshold=0.5] |
0 |
| LR_4_log[cache_size=0.1,treshold=0.5] |
0 |
| LR_4_mean[cache_size=0.1,treshold=0.5] |
0 |
| LR_4_robust_scaler[cache_size=0.1,treshold=0.5] |
0 |
| LR_4_std_scaler[cache_size=0.1,treshold=0.5] |
0 |
| LR_5[cache_size=0.1,treshold=0.5] |
0 |
| LR_5_imba[cache_size=0.1,treshold=0.5] |
0 |
| LR_6[cache_size=0.1,treshold=0.5] |
0 |
| LR_6_imba[cache_size=0.1,treshold=0.5] |
0 |
| LR_7[cache_size=0.1,treshold=0.3] |
0 |
| LR_7[cache_size=0.1,treshold=0.5] |
0 |
| LR_7[cache_size=0.1,treshold=0.6] |
0 |
| LR_7[cache_size=0.1,treshold=0.7] |
0 |
| LR_7[cache_size=0.1,treshold=0.8] |
0 |
| LR_7[cache_size=0.1,treshold=0.9] |
0 |
| LR_8[cache_size=0.1,treshold=0.3] |
0 |
| LR_8[cache_size=0.1,treshold=0.5] |
0 |
| LR_8[cache_size=0.1,treshold=0.6] |
0 |
| LR_8[cache_size=0.1,treshold=0.7] |
0 |
| LR_8[cache_size=0.1,treshold=0.8] |
0 |
| LR_8[cache_size=0.1,treshold=0.9] |
0 |
| LR_9[cache_size=0.1,treshold=0.3] |
0 |
| LR_9[cache_size=0.1,treshold=0.5] |
0 |
| LR_9[cache_size=0.1,treshold=0.6] |
0 |
| LR_9[cache_size=0.1,treshold=0.7] |
0 |
| LR_9[cache_size=0.1,treshold=0.8] |
0 |
| LR_9[cache_size=0.1,treshold=0.9] |
0 |
| LR_10[cache_size=0.2,treshold=0.3] |
0 |
| LR_10[cache_size=0.2,treshold=0.5] |
0 |
| LR_10[cache_size=0.2,treshold=0.6] |
0 |
| LR_10[cache_size=0.2,treshold=0.7] |
0 |
| LR_10[cache_size=0.2,treshold=0.8] |
0 |
| LR_10[cache_size=0.2,treshold=0.9] |
0 |
| LR_11[cache_size=0.2,treshold=0.3] |
0 |
| LR_11[cache_size=0.2,treshold=0.5] |
0 |
| LR_11[cache_size=0.2,treshold=0.6] |
0 |
| LR_11[cache_size=0.2,treshold=0.7] |
0 |
| LR_11[cache_size=0.2,treshold=0.8] |
0 |
| LR_11[cache_size=0.2,treshold=0.9] |
0 |
| LR_12[cache_size=0.2,treshold=0.3] |
0 |
| LR_12[cache_size=0.2,treshold=0.5] |
0 |
| LR_12[cache_size=0.2,treshold=0.6] |
0 |
| LR_12[cache_size=0.2,treshold=0.7] |
0 |
| LR_12[cache_size=0.2,treshold=0.8] |
0 |
| LR_12[cache_size=0.2,treshold=0.9] |
0 |
| LR_13[cache_size=0.2,treshold=0.3] |
0 |
| LR_13[cache_size=0.2,treshold=0.5] |
0 |
| LR_13[cache_size=0.2,treshold=0.6] |
0 |
| LR_13[cache_size=0.2,treshold=0.7] |
0 |
| LR_13[cache_size=0.2,treshold=0.8] |
0 |
| LR_13[cache_size=0.2,treshold=0.9] |
0 |
| LR_14[cache_size=0.2,treshold=0.3] |
0 |
| LR_14[cache_size=0.2,treshold=0.5] |
0 |
| LR_14[cache_size=0.2,treshold=0.6] |
0 |
| LR_14[cache_size=0.2,treshold=0.7] |
0 |
| LR_14[cache_size=0.2,treshold=0.8] |
0 |
| LR_14[cache_size=0.2,treshold=0.9] |
0 |
| LR_15[cache_size=0.2,treshold=0.3] |
0 |
| LR_15[cache_size=0.2,treshold=0.5] |
0 |
| LR_15[cache_size=0.2,treshold=0.6] |
0 |
| LR_15[cache_size=0.2,treshold=0.7] |
0 |
| LR_15[cache_size=0.2,treshold=0.8] |
0 |
| LR_15[cache_size=0.2,treshold=0.9] |
0 |
| LR_1[cache_size=0.2,treshold=0.5] |
0 |
| LR_1_log[cache_size=0.2,treshold=0.5] |
0 |
| LR_1_mean[cache_size=0.2,treshold=0.5] |
0 |
| LR_1_robust_scaler[cache_size=0.2,treshold=0.5] |
0 |
| LR_1_std_scaler[cache_size=0.2,treshold=0.5] |
0 |
| LR_2[cache_size=0.2,treshold=0.5] |
0 |
| LR_2_log[cache_size=0.2,treshold=0.5] |
0 |
| LR_2_mean[cache_size=0.2,treshold=0.5] |
0 |
| LR_3[cache_size=0.2,treshold=0.5] |
0 |
| LR_3_log[cache_size=0.2,treshold=0.5] |
0 |
| LR_3_mean[cache_size=0.2,treshold=0.5] |
0 |
| LR_4[cache_size=0.2,treshold=0.5] |
0 |
| LR_4_log[cache_size=0.2,treshold=0.5] |
0 |
| LR_4_mean[cache_size=0.2,treshold=0.5] |
0 |
| LR_4_robust_scaler[cache_size=0.2,treshold=0.5] |
0 |
| LR_4_std_scaler[cache_size=0.2,treshold=0.5] |
0 |
| LR_5[cache_size=0.2,treshold=0.5] |
0 |
| LR_5_imba[cache_size=0.2,treshold=0.5] |
0 |
| LR_6[cache_size=0.2,treshold=0.5] |
0 |
| LR_6_imba[cache_size=0.2,treshold=0.5] |
0 |
| LR_7[cache_size=0.2,treshold=0.3] |
0 |
| LR_7[cache_size=0.2,treshold=0.5] |
0 |
| LR_7[cache_size=0.2,treshold=0.6] |
0 |
| LR_7[cache_size=0.2,treshold=0.7] |
0 |
| LR_7[cache_size=0.2,treshold=0.8] |
0 |
| LR_7[cache_size=0.2,treshold=0.9] |
0 |
| LR_8[cache_size=0.2,treshold=0.3] |
0 |
| LR_8[cache_size=0.2,treshold=0.5] |
0 |
| LR_8[cache_size=0.2,treshold=0.6] |
0 |
| LR_8[cache_size=0.2,treshold=0.7] |
0 |
| LR_8[cache_size=0.2,treshold=0.8] |
0 |
| LR_8[cache_size=0.2,treshold=0.9] |
0 |
| LR_9[cache_size=0.2,treshold=0.3] |
0 |
| LR_9[cache_size=0.2,treshold=0.5] |
0 |
| LR_9[cache_size=0.2,treshold=0.6] |
0 |
| LR_9[cache_size=0.2,treshold=0.7] |
0 |
| LR_9[cache_size=0.2,treshold=0.8] |
0 |
| LR_9[cache_size=0.2,treshold=0.9] |
0 |
| LR_10[cache_size=0.4,treshold=0.3] |
0 |
| LR_10[cache_size=0.4,treshold=0.5] |
0 |
| LR_10[cache_size=0.4,treshold=0.6] |
0 |
| LR_10[cache_size=0.4,treshold=0.7] |
0 |
| LR_10[cache_size=0.4,treshold=0.8] |
0 |
| LR_10[cache_size=0.4,treshold=0.9] |
0 |
| LR_11[cache_size=0.4,treshold=0.3] |
0 |
| LR_11[cache_size=0.4,treshold=0.5] |
0 |
| LR_11[cache_size=0.4,treshold=0.6] |
0 |
| LR_11[cache_size=0.4,treshold=0.7] |
0 |
| LR_11[cache_size=0.4,treshold=0.8] |
0 |
| LR_11[cache_size=0.4,treshold=0.9] |
0 |
| LR_12[cache_size=0.4,treshold=0.3] |
0 |
| LR_12[cache_size=0.4,treshold=0.5] |
0 |
| LR_12[cache_size=0.4,treshold=0.6] |
0 |
| LR_12[cache_size=0.4,treshold=0.7] |
0 |
| LR_12[cache_size=0.4,treshold=0.8] |
0 |
| LR_12[cache_size=0.4,treshold=0.9] |
0 |
| LR_13[cache_size=0.4,treshold=0.3] |
0 |
| LR_13[cache_size=0.4,treshold=0.5] |
0 |
| LR_13[cache_size=0.4,treshold=0.6] |
0 |
| LR_13[cache_size=0.4,treshold=0.7] |
0 |
| LR_13[cache_size=0.4,treshold=0.8] |
0 |
| LR_13[cache_size=0.4,treshold=0.9] |
0 |
| LR_14[cache_size=0.4,treshold=0.3] |
0 |
| LR_14[cache_size=0.4,treshold=0.5] |
0 |
| LR_14[cache_size=0.4,treshold=0.6] |
0 |
| LR_14[cache_size=0.4,treshold=0.7] |
0 |
| LR_14[cache_size=0.4,treshold=0.8] |
0 |
| LR_14[cache_size=0.4,treshold=0.9] |
0 |
| LR_15[cache_size=0.4,treshold=0.3] |
0 |
| LR_15[cache_size=0.4,treshold=0.5] |
0 |
| LR_15[cache_size=0.4,treshold=0.6] |
0 |
| LR_15[cache_size=0.4,treshold=0.7] |
0 |
| LR_15[cache_size=0.4,treshold=0.8] |
0 |
| LR_15[cache_size=0.4,treshold=0.9] |
0 |
| LR_1[cache_size=0.4,treshold=0.5] |
0 |
| LR_1_log[cache_size=0.4,treshold=0.5] |
0 |
| LR_1_mean[cache_size=0.4,treshold=0.5] |
0 |
| LR_1_robust_scaler[cache_size=0.4,treshold=0.5] |
0 |
| LR_1_std_scaler[cache_size=0.4,treshold=0.5] |
0 |
| LR_2[cache_size=0.4,treshold=0.5] |
0 |
| LR_2_log[cache_size=0.4,treshold=0.5] |
0 |
| LR_2_mean[cache_size=0.4,treshold=0.5] |
0 |
| LR_3[cache_size=0.4,treshold=0.5] |
0 |
| LR_3_log[cache_size=0.4,treshold=0.5] |
0 |
| LR_3_mean[cache_size=0.4,treshold=0.5] |
0 |
| LR_4[cache_size=0.4,treshold=0.5] |
0 |
| LR_4_log[cache_size=0.4,treshold=0.5] |
0 |
| LR_4_mean[cache_size=0.4,treshold=0.5] |
0 |
| LR_4_robust_scaler[cache_size=0.4,treshold=0.5] |
0 |
| LR_4_std_scaler[cache_size=0.4,treshold=0.5] |
0 |
| LR_5[cache_size=0.4,treshold=0.5] |
0 |
| LR_5_imba[cache_size=0.4,treshold=0.5] |
0 |
| LR_6[cache_size=0.4,treshold=0.5] |
0 |
| LR_6_imba[cache_size=0.4,treshold=0.5] |
0 |
| LR_7[cache_size=0.4,treshold=0.3] |
0 |
| LR_7[cache_size=0.4,treshold=0.5] |
0 |
| LR_7[cache_size=0.4,treshold=0.6] |
0 |
| LR_7[cache_size=0.4,treshold=0.7] |
0 |
| LR_7[cache_size=0.4,treshold=0.8] |
0 |
| LR_7[cache_size=0.4,treshold=0.9] |
0 |
| LR_8[cache_size=0.4,treshold=0.3] |
0 |
| LR_8[cache_size=0.4,treshold=0.5] |
0 |
| LR_8[cache_size=0.4,treshold=0.6] |
0 |
| LR_8[cache_size=0.4,treshold=0.7] |
0 |
| LR_8[cache_size=0.4,treshold=0.8] |
0 |
| LR_8[cache_size=0.4,treshold=0.9] |
0 |
| LR_9[cache_size=0.4,treshold=0.3] |
0 |
| LR_9[cache_size=0.4,treshold=0.5] |
0 |
| LR_9[cache_size=0.4,treshold=0.6] |
0 |
| LR_9[cache_size=0.4,treshold=0.7] |
0 |
| LR_9[cache_size=0.4,treshold=0.8] |
0 |
| LR_9[cache_size=0.4,treshold=0.9] |
0 |
| Offline Clock 1st iteration |
0 |
| Offline Clock 2nd iteration |
100 |
| Zipf Optimal Distribution |
100 |
| Model |
Max |
Min |
Avg |
Mdn |
| LR_10[cache_size=0.001,treshold=0.3] |
64.487 |
64.4568 |
64.4714 |
64.4716 |
| LR_10[cache_size=0.001,treshold=0.5] |
53.0073 |
52.9553 |
52.9846 |
52.9966 |
| LR_10[cache_size=0.001,treshold=0.6] |
45.4336 |
45.3647 |
45.3964 |
45.3967 |
| LR_10[cache_size=0.001,treshold=0.7] |
35.2239 |
35.1603 |
35.1838 |
35.1825 |
| LR_10[cache_size=0.001,treshold=0.8] |
20.19 |
20.1546 |
20.1658 |
20.1625 |
| LR_10[cache_size=0.001,treshold=0.9] |
0.0489568 |
0.0458181 |
0.0475212 |
0.0474412 |
| LR_10[cache_size=All,treshold=0.3] |
99.9133 |
65.2775 |
91.592 |
99.2999 |
| LR_10[cache_size=All,treshold=0.5] |
99.6467 |
8.24613 |
75.4498 |
97.1811 |
| LR_10[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.001,treshold=0.3] |
64.9619 |
64.9316 |
64.9501 |
64.9501 |
| LR_11[cache_size=0.001,treshold=0.5] |
53.307 |
53.2581 |
53.2857 |
53.3009 |
| LR_11[cache_size=0.001,treshold=0.6] |
45.4136 |
45.3526 |
45.3804 |
45.3735 |
| LR_11[cache_size=0.001,treshold=0.7] |
34.6595 |
34.6152 |
34.6336 |
34.6296 |
| LR_11[cache_size=0.001,treshold=0.8] |
19.2793 |
19.241 |
19.2604 |
19.2604 |
| LR_11[cache_size=0.001,treshold=0.9] |
0.811724 |
0.806042 |
0.809589 |
0.809746 |
| LR_11[cache_size=All,treshold=0.3] |
99.9133 |
65.2759 |
91.5911 |
99.2995 |
| LR_11[cache_size=All,treshold=0.5] |
99.6478 |
8.28082 |
75.4773 |
97.1887 |
| LR_11[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.001,treshold=0.3] |
64.6 |
64.5723 |
64.586 |
64.5864 |
| LR_12[cache_size=0.001,treshold=0.5] |
52.9772 |
52.9285 |
52.9559 |
52.9715 |
| LR_12[cache_size=0.001,treshold=0.6] |
45.3007 |
45.2448 |
45.2688 |
45.2616 |
| LR_12[cache_size=0.001,treshold=0.7] |
35.0088 |
34.9565 |
34.9749 |
34.9686 |
| LR_12[cache_size=0.001,treshold=0.8] |
20.1304 |
20.0888 |
20.1081 |
20.1093 |
| LR_12[cache_size=0.001,treshold=0.9] |
0.614198 |
0.608547 |
0.611838 |
0.611802 |
| LR_12[cache_size=All,treshold=0.3] |
99.9136 |
65.269 |
91.5943 |
99.3023 |
| LR_12[cache_size=All,treshold=0.5] |
99.6462 |
8.19283 |
75.4266 |
97.1788 |
| LR_12[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.001,treshold=0.3] |
66.829 |
66.8063 |
66.818 |
66.8192 |
| LR_13[cache_size=0.001,treshold=0.5] |
54.9514 |
54.9081 |
54.9317 |
54.9384 |
| LR_13[cache_size=0.001,treshold=0.6] |
46.7527 |
46.7059 |
46.727 |
46.7234 |
| LR_13[cache_size=0.001,treshold=0.7] |
35.2222 |
35.1685 |
35.1912 |
35.1846 |
| LR_13[cache_size=0.001,treshold=0.8] |
17.4747 |
17.4552 |
17.4597 |
17.4559 |
| LR_13[cache_size=0.001,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=All,treshold=0.3] |
99.9777 |
67.5232 |
92.8336 |
99.8203 |
| LR_13[cache_size=All,treshold=0.5] |
99.7419 |
0.606482 |
74.5379 |
98.1443 |
| LR_13[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.001,treshold=0.3] |
67.3954 |
67.371 |
67.3851 |
67.3879 |
| LR_14[cache_size=0.001,treshold=0.5] |
55.1991 |
55.1603 |
55.1758 |
55.1762 |
| LR_14[cache_size=0.001,treshold=0.6] |
46.0919 |
46.0451 |
46.0657 |
46.055 |
| LR_14[cache_size=0.001,treshold=0.7] |
33.9776 |
33.9478 |
33.9622 |
33.9624 |
| LR_14[cache_size=0.001,treshold=0.8] |
16.4262 |
16.3975 |
16.4127 |
16.4109 |
| LR_14[cache_size=0.001,treshold=0.9] |
0.00016319 |
5.76087e-05 |
0.000113279 |
0.000115193 |
| LR_14[cache_size=All,treshold=0.3] |
99.9772 |
67.7593 |
92.8719 |
99.8181 |
| LR_14[cache_size=All,treshold=0.5] |
99.7279 |
0.561001 |
74.0434 |
98.0193 |
| LR_14[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.001,treshold=0.3] |
66.963 |
66.9422 |
66.9539 |
66.9532 |
| LR_15[cache_size=0.001,treshold=0.5] |
54.8713 |
54.8295 |
54.8497 |
54.8541 |
| LR_15[cache_size=0.001,treshold=0.6] |
46.5126 |
46.461 |
46.4868 |
46.4836 |
| LR_15[cache_size=0.001,treshold=0.7] |
34.9055 |
34.8619 |
34.88 |
34.8766 |
| LR_15[cache_size=0.001,treshold=0.8] |
17.5543 |
17.5221 |
17.5365 |
17.5342 |
| LR_15[cache_size=0.001,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=All,treshold=0.3] |
99.9774 |
67.7008 |
92.8671 |
99.8203 |
| LR_15[cache_size=All,treshold=0.5] |
99.7205 |
0.509145 |
74.0405 |
97.9911 |
| LR_15[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_1[cache_size=0.001,treshold=0.5] |
55.2612 |
55.2205 |
55.2364 |
55.2312 |
| LR_1[cache_size=All,treshold=0.5] |
91.4718 |
0 |
49.3399 |
70.7458 |
| LR_1_log[cache_size=0.001,treshold=0.5] |
48.2013 |
48.1581 |
48.182 |
48.1861 |
| LR_1_log[cache_size=All,treshold=0.5] |
79.151 |
11.676 |
55.465 |
68.7038 |
| LR_1_mean[cache_size=0.001,treshold=0.5] |
52.3269 |
51.9306 |
52.1619 |
52.2138 |
| LR_1_mean[cache_size=All,treshold=0.5] |
98.9308 |
5.82523 |
66.6283 |
90.6499 |
| LR_1_robust_scaler[cache_size=0.001,treshold=0.5] |
55.258 |
55.2176 |
55.2332 |
55.2285 |
| LR_1_robust_scaler[cache_size=All,treshold=0.5] |
93.1924 |
1.23205 |
56.8117 |
81.7051 |
| LR_1_std_scaler[cache_size=0.001,treshold=0.5] |
55.2527 |
55.2119 |
55.2281 |
55.2235 |
| LR_1_std_scaler[cache_size=All,treshold=0.5] |
93.185 |
1.2357 |
56.8121 |
81.6936 |
| LR_2[cache_size=0.001,treshold=0.5] |
45.8362 |
45.8061 |
45.8199 |
45.8217 |
| LR_2[cache_size=All,treshold=0.5] |
81.3849 |
0 |
32.0491 |
19.3932 |
| LR_2_log[cache_size=0.001,treshold=0.5] |
58.5159 |
58.4782 |
58.4942 |
58.4946 |
| LR_2_log[cache_size=All,treshold=0.5] |
87.9602 |
1.13336 |
55.0923 |
71.1151 |
| LR_2_mean[cache_size=0.001,treshold=0.5] |
57.4971 |
57.4233 |
57.464 |
57.4607 |
| LR_2_mean[cache_size=All,treshold=0.5] |
97.165 |
0 |
54.9107 |
84.737 |
| LR_3[cache_size=0.001,treshold=0.5] |
48.7178 |
48.6766 |
48.6986 |
48.7033 |
| LR_3[cache_size=All,treshold=0.5] |
81.3851 |
0 |
32.0492 |
19.3917 |
| LR_3_log[cache_size=0.001,treshold=0.5] |
53.9702 |
53.9394 |
53.9527 |
53.9537 |
| LR_3_log[cache_size=All,treshold=0.5] |
87.4379 |
0.990202 |
54.2743 |
69.868 |
| LR_3_mean[cache_size=0.001,treshold=0.5] |
52.7859 |
52.6834 |
52.7408 |
52.7562 |
| LR_3_mean[cache_size=All,treshold=0.5] |
96.8811 |
0 |
54.4539 |
83.3494 |
| LR_4[cache_size=0.001,treshold=0.5] |
54.387 |
54.3278 |
54.3485 |
54.3469 |
| LR_4[cache_size=All,treshold=0.5] |
80.8001 |
11.925 |
61.1372 |
70.9355 |
| LR_4_log[cache_size=0.001,treshold=0.5] |
49.3725 |
49.3181 |
49.337 |
49.3278 |
| LR_4_log[cache_size=All,treshold=0.5] |
58.3114 |
28.941 |
50.0822 |
57.16 |
| LR_4_mean[cache_size=0.001,treshold=0.5] |
52.5371 |
52.1425 |
52.3659 |
52.4227 |
| LR_4_mean[cache_size=All,treshold=0.5] |
73.5403 |
18.3429 |
58.2695 |
68.0734 |
| LR_4_robust_scaler[cache_size=0.001,treshold=0.5] |
54.3895 |
54.331 |
54.3521 |
54.3513 |
| LR_4_robust_scaler[cache_size=All,treshold=0.5] |
80.8043 |
11.9283 |
61.1401 |
70.9347 |
| LR_4_std_scaler[cache_size=0.001,treshold=0.5] |
54.3769 |
54.3175 |
54.3394 |
54.3388 |
| LR_4_std_scaler[cache_size=All,treshold=0.5] |
80.8721 |
11.9649 |
61.1833 |
70.9298 |
| LR_5[cache_size=0.001,treshold=0.5] |
54.4612 |
54.41 |
54.4331 |
54.4409 |
| LR_5[cache_size=All,treshold=0.5] |
80.8047 |
11.9376 |
61.1427 |
70.9327 |
| LR_5_imba[cache_size=0.001,treshold=0.5] |
41.9916 |
41.9597 |
41.9765 |
41.9822 |
| LR_5_imba[cache_size=All,treshold=0.5] |
47.6865 |
0 |
13.467 |
0 |
| LR_6[cache_size=0.001,treshold=0.5] |
54.4628 |
54.4108 |
54.4344 |
54.4422 |
| LR_6[cache_size=All,treshold=0.5] |
80.815 |
11.9411 |
61.1499 |
70.9319 |
| LR_6_imba[cache_size=0.001,treshold=0.5] |
42.0083 |
41.9765 |
41.9933 |
41.9986 |
| LR_6_imba[cache_size=All,treshold=0.5] |
47.6765 |
0 |
13.4543 |
0 |
| LR_7[cache_size=0.001,treshold=0.3] |
69.3839 |
69.3614 |
69.3742 |
69.3748 |
| LR_7[cache_size=0.001,treshold=0.5] |
55.0665 |
55.0078 |
55.0368 |
55.0426 |
| LR_7[cache_size=0.001,treshold=0.6] |
44.7721 |
44.7306 |
44.7498 |
44.7505 |
| LR_7[cache_size=0.001,treshold=0.7] |
30.4216 |
30.3858 |
30.4051 |
30.4041 |
| LR_7[cache_size=0.001,treshold=0.8] |
10.7908 |
10.7669 |
10.7769 |
10.7716 |
| LR_7[cache_size=0.001,treshold=0.9] |
2.08557 |
2.06788 |
2.08039 |
2.08282 |
| LR_7[cache_size=All,treshold=0.3] |
99.2371 |
66.7883 |
92.212 |
99.1317 |
| LR_7[cache_size=All,treshold=0.5] |
96.6911 |
6.58047 |
74.107 |
95.2891 |
| LR_7[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_7[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_7[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_7[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_8[cache_size=0.001,treshold=0.3] |
70.2804 |
70.264 |
70.2712 |
70.2708 |
| LR_8[cache_size=0.001,treshold=0.5] |
54.6318 |
54.584 |
54.6119 |
54.6171 |
| LR_8[cache_size=0.001,treshold=0.6] |
43.4294 |
43.3924 |
43.414 |
43.4207 |
| LR_8[cache_size=0.001,treshold=0.7] |
29.4672 |
29.433 |
29.454 |
29.4546 |
| LR_8[cache_size=0.001,treshold=0.8] |
11.7258 |
11.7036 |
11.7137 |
11.7074 |
| LR_8[cache_size=0.001,treshold=0.9] |
1.95965 |
1.93887 |
1.95192 |
1.95418 |
| LR_8[cache_size=All,treshold=0.3] |
99.2281 |
67.5488 |
92.3776 |
99.1269 |
| LR_8[cache_size=All,treshold=0.5] |
96.5693 |
5.51532 |
72.8871 |
94.775 |
| LR_8[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_8[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_8[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_8[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=0.001,treshold=0.3] |
69.4067 |
69.3914 |
69.4012 |
69.4034 |
| LR_9[cache_size=0.001,treshold=0.5] |
54.7783 |
54.719 |
54.7512 |
54.7566 |
| LR_9[cache_size=0.001,treshold=0.6] |
44.4575 |
44.4136 |
44.435 |
44.4393 |
| LR_9[cache_size=0.001,treshold=0.7] |
30.3545 |
30.3241 |
30.3427 |
30.3407 |
| LR_9[cache_size=0.001,treshold=0.8] |
11.4069 |
11.3961 |
11.401 |
11.399 |
| LR_9[cache_size=0.001,treshold=0.9] |
2.0927 |
2.07646 |
2.08734 |
2.08817 |
| LR_9[cache_size=All,treshold=0.3] |
99.2329 |
67.4621 |
92.3623 |
99.1293 |
| LR_9[cache_size=All,treshold=0.5] |
96.602 |
4.77935 |
72.7267 |
94.7841 |
| LR_9[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=0.01,treshold=0.3] |
67.8627 |
67.8449 |
67.8553 |
67.8553 |
| LR_10[cache_size=0.01,treshold=0.5] |
55.4986 |
55.4549 |
55.4816 |
55.4801 |
| LR_10[cache_size=0.01,treshold=0.6] |
46.7602 |
46.7276 |
46.7433 |
46.7427 |
| LR_10[cache_size=0.01,treshold=0.7] |
34.4885 |
34.4587 |
34.4708 |
34.4681 |
| LR_10[cache_size=0.01,treshold=0.8] |
16.5256 |
16.4739 |
16.5061 |
16.5117 |
| LR_10[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.01,treshold=0.3] |
67.8952 |
67.8824 |
67.8897 |
67.8909 |
| LR_11[cache_size=0.01,treshold=0.5] |
55.3983 |
55.3555 |
55.3813 |
55.3809 |
| LR_11[cache_size=0.01,treshold=0.6] |
46.5881 |
46.5561 |
46.5707 |
46.57 |
| LR_11[cache_size=0.01,treshold=0.7] |
34.3995 |
34.3685 |
34.3824 |
34.3775 |
| LR_11[cache_size=0.01,treshold=0.8] |
16.5874 |
16.5366 |
16.5689 |
16.5762 |
| LR_11[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.01,treshold=0.3] |
67.838 |
67.8195 |
67.8298 |
67.8316 |
| LR_12[cache_size=0.01,treshold=0.5] |
55.5696 |
55.5221 |
55.549 |
55.5451 |
| LR_12[cache_size=0.01,treshold=0.6] |
46.8503 |
46.8153 |
46.8322 |
46.8322 |
| LR_12[cache_size=0.01,treshold=0.7] |
34.5398 |
34.5128 |
34.5247 |
34.5231 |
| LR_12[cache_size=0.01,treshold=0.8] |
16.4081 |
16.3551 |
16.386 |
16.3901 |
| LR_12[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.01,treshold=0.3] |
74.0248 |
74.0001 |
74.0165 |
74.0177 |
| LR_13[cache_size=0.01,treshold=0.5] |
58.5534 |
58.5279 |
58.5398 |
58.5403 |
| LR_13[cache_size=0.01,treshold=0.6] |
46.9892 |
46.9501 |
46.9768 |
46.9833 |
| LR_13[cache_size=0.01,treshold=0.7] |
32.4144 |
32.3608 |
32.3965 |
32.4004 |
| LR_13[cache_size=0.01,treshold=0.8] |
7.82267 |
7.80438 |
7.81444 |
7.81283 |
| LR_13[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.01,treshold=0.3] |
73.989 |
73.964 |
73.9815 |
73.9852 |
| LR_14[cache_size=0.01,treshold=0.5] |
58.2852 |
58.2595 |
58.2743 |
58.2714 |
| LR_14[cache_size=0.01,treshold=0.6] |
46.806 |
46.7635 |
46.7913 |
46.7958 |
| LR_14[cache_size=0.01,treshold=0.7] |
32.3267 |
32.2724 |
32.307 |
32.3086 |
| LR_14[cache_size=0.01,treshold=0.8] |
8.32671 |
8.30491 |
8.31782 |
8.31693 |
| LR_14[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.01,treshold=0.3] |
74.0456 |
74.0226 |
74.0384 |
74.0432 |
| LR_15[cache_size=0.01,treshold=0.5] |
58.6472 |
58.6192 |
58.6329 |
58.633 |
| LR_15[cache_size=0.01,treshold=0.6] |
47.0552 |
47.0175 |
47.043 |
47.0512 |
| LR_15[cache_size=0.01,treshold=0.7] |
32.4456 |
32.3889 |
32.4258 |
32.4263 |
| LR_15[cache_size=0.01,treshold=0.8] |
7.64665 |
7.62795 |
7.63708 |
7.63426 |
| LR_15[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_1[cache_size=0.01,treshold=0.5] |
54.1189 |
54.0982 |
54.1064 |
54.1065 |
| LR_1_log[cache_size=0.01,treshold=0.5] |
49.0082 |
48.9813 |
48.9945 |
48.9949 |
| LR_1_mean[cache_size=0.01,treshold=0.5] |
53.7278 |
53.2604 |
53.5578 |
53.6823 |
| LR_1_robust_scaler[cache_size=0.01,treshold=0.5] |
54.1265 |
54.103 |
54.1129 |
54.1133 |
| LR_1_std_scaler[cache_size=0.01,treshold=0.5] |
54.1292 |
54.1063 |
54.116 |
54.1168 |
| LR_2[cache_size=0.01,treshold=0.5] |
45.8245 |
45.7926 |
45.8099 |
45.8127 |
| LR_2_log[cache_size=0.01,treshold=0.5] |
58.0402 |
57.9786 |
58.0084 |
58.0127 |
| LR_2_mean[cache_size=0.01,treshold=0.5] |
57.8796 |
57.8278 |
57.8543 |
57.8521 |
| LR_3[cache_size=0.01,treshold=0.5] |
45.633 |
45.6 |
45.6171 |
45.6197 |
| LR_3_log[cache_size=0.01,treshold=0.5] |
57.4241 |
57.3728 |
57.3967 |
57.4004 |
| LR_3_mean[cache_size=0.01,treshold=0.5] |
57.2164 |
57.1678 |
57.1952 |
57.1968 |
| LR_4[cache_size=0.01,treshold=0.5] |
53.9201 |
53.9058 |
53.912 |
53.9113 |
| LR_4_log[cache_size=0.01,treshold=0.5] |
50.1762 |
50.1481 |
50.163 |
50.164 |
| LR_4_mean[cache_size=0.01,treshold=0.5] |
54.3545 |
53.9765 |
54.2102 |
54.3158 |
| LR_4_robust_scaler[cache_size=0.01,treshold=0.5] |
53.9261 |
53.9111 |
53.9172 |
53.9157 |
| LR_4_std_scaler[cache_size=0.01,treshold=0.5] |
53.9213 |
53.9068 |
53.9127 |
53.9113 |
| LR_5[cache_size=0.01,treshold=0.5] |
53.9286 |
53.9138 |
53.9211 |
53.9193 |
| LR_5_imba[cache_size=0.01,treshold=0.5] |
41.3928 |
41.358 |
41.3713 |
41.3662 |
| LR_6[cache_size=0.01,treshold=0.5] |
53.9196 |
53.9049 |
53.9117 |
53.9102 |
| LR_6_imba[cache_size=0.01,treshold=0.5] |
41.4103 |
41.3748 |
41.3892 |
41.384 |
| LR_7[cache_size=0.01,treshold=0.3] |
68.8959 |
68.8611 |
68.8799 |
68.8839 |
| LR_7[cache_size=0.01,treshold=0.5] |
54.3901 |
54.3474 |
54.3671 |
54.3647 |
| LR_7[cache_size=0.01,treshold=0.6] |
44.4902 |
44.4516 |
44.4727 |
44.4755 |
| LR_7[cache_size=0.01,treshold=0.7] |
31.1963 |
31.1736 |
31.1881 |
31.1898 |
| LR_7[cache_size=0.01,treshold=0.8] |
13.1008 |
13.0903 |
13.095 |
13.0926 |
| LR_7[cache_size=0.01,treshold=0.9] |
1.55324 |
1.54283 |
1.54949 |
1.55177 |
| LR_8[cache_size=0.01,treshold=0.3] |
68.8875 |
68.8517 |
68.8704 |
68.872 |
| LR_8[cache_size=0.01,treshold=0.5] |
54.3587 |
54.3158 |
54.3351 |
54.3318 |
| LR_8[cache_size=0.01,treshold=0.6] |
44.4638 |
44.4248 |
44.4453 |
44.4475 |
| LR_8[cache_size=0.01,treshold=0.7] |
31.1961 |
31.1752 |
31.1887 |
31.189 |
| LR_8[cache_size=0.01,treshold=0.8] |
13.146 |
13.1354 |
13.141 |
13.1401 |
| LR_8[cache_size=0.01,treshold=0.9] |
1.54754 |
1.53787 |
1.54443 |
1.54725 |
| LR_9[cache_size=0.01,treshold=0.3] |
69.0317 |
68.9917 |
69.0127 |
69.0161 |
| LR_9[cache_size=0.01,treshold=0.5] |
54.6412 |
54.5996 |
54.6155 |
54.6095 |
| LR_9[cache_size=0.01,treshold=0.6] |
44.6607 |
44.6221 |
44.6421 |
44.6479 |
| LR_9[cache_size=0.01,treshold=0.7] |
31.1167 |
31.0942 |
31.1081 |
31.1102 |
| LR_9[cache_size=0.01,treshold=0.8] |
12.6351 |
12.6235 |
12.6298 |
12.6296 |
| LR_9[cache_size=0.01,treshold=0.9] |
1.54677 |
1.5375 |
1.54328 |
1.54577 |
| LR_10[cache_size=0.1,treshold=0.3] |
74.9456 |
74.9101 |
74.9288 |
74.9259 |
| LR_10[cache_size=0.1,treshold=0.5] |
62.6098 |
62.5507 |
62.584 |
62.5891 |
| LR_10[cache_size=0.1,treshold=0.6] |
51.9497 |
51.9058 |
51.9295 |
51.9351 |
| LR_10[cache_size=0.1,treshold=0.7] |
21.6587 |
21.6172 |
21.6426 |
21.6488 |
| LR_10[cache_size=0.1,treshold=0.8] |
0.0109785 |
0.00986522 |
0.0103329 |
0.0100063 |
| LR_10[cache_size=0.1,treshold=0.9] |
0.00753458 |
0.00630925 |
0.00684968 |
0.00671965 |
| LR_11[cache_size=0.1,treshold=0.3] |
74.9828 |
74.9523 |
74.9681 |
74.9644 |
| LR_11[cache_size=0.1,treshold=0.5] |
63.0481 |
62.9884 |
63.0237 |
63.0299 |
| LR_11[cache_size=0.1,treshold=0.6] |
52.305 |
52.261 |
52.2842 |
52.284 |
| LR_11[cache_size=0.1,treshold=0.7] |
20.7968 |
20.7638 |
20.7788 |
20.7795 |
| LR_11[cache_size=0.1,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.1,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.1,treshold=0.3] |
74.9838 |
74.9532 |
74.969 |
74.9648 |
| LR_12[cache_size=0.1,treshold=0.5] |
63.3339 |
63.2755 |
63.3056 |
63.3126 |
| LR_12[cache_size=0.1,treshold=0.6] |
52.51 |
52.4658 |
52.4853 |
52.4828 |
| LR_12[cache_size=0.1,treshold=0.7] |
20.444 |
20.4068 |
20.4248 |
20.4304 |
| LR_12[cache_size=0.1,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.1,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.1,treshold=0.3] |
75.0436 |
75.0123 |
75.025 |
75.0142 |
| LR_13[cache_size=0.1,treshold=0.5] |
56.5272 |
56.4923 |
56.5077 |
56.5129 |
| LR_13[cache_size=0.1,treshold=0.6] |
43.2788 |
43.2088 |
43.2477 |
43.2431 |
| LR_13[cache_size=0.1,treshold=0.7] |
23.8681 |
23.839 |
23.8544 |
23.8565 |
| LR_13[cache_size=0.1,treshold=0.8] |
0.00270622 |
0.00188888 |
0.00226051 |
0.00223988 |
| LR_13[cache_size=0.1,treshold=0.9] |
0.000214161 |
0.000136341 |
0.00018886 |
0.000194675 |
| LR_14[cache_size=0.1,treshold=0.3] |
75.2085 |
75.1766 |
75.1906 |
75.1814 |
| LR_14[cache_size=0.1,treshold=0.5] |
56.5957 |
56.564 |
56.579 |
56.5836 |
| LR_14[cache_size=0.1,treshold=0.6] |
43.2875 |
43.2164 |
43.2557 |
43.2506 |
| LR_14[cache_size=0.1,treshold=0.7] |
23.6399 |
23.6103 |
23.6243 |
23.6245 |
| LR_14[cache_size=0.1,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.1,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.1,treshold=0.3] |
75.2561 |
75.2234 |
75.2383 |
75.2306 |
| LR_15[cache_size=0.1,treshold=0.5] |
56.6606 |
56.6298 |
56.6441 |
56.6489 |
| LR_15[cache_size=0.1,treshold=0.6] |
43.2663 |
43.1944 |
43.2335 |
43.23 |
| LR_15[cache_size=0.1,treshold=0.7] |
23.5367 |
23.5091 |
23.5222 |
23.524 |
| LR_15[cache_size=0.1,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.1,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_1[cache_size=0.1,treshold=0.5] |
50.7059 |
50.6403 |
50.6794 |
50.6869 |
| LR_1_log[cache_size=0.1,treshold=0.5] |
50.5629 |
50.5054 |
50.5391 |
50.5473 |
| LR_1_mean[cache_size=0.1,treshold=0.5] |
56.2494 |
56.1883 |
56.2282 |
56.234 |
| LR_1_robust_scaler[cache_size=0.1,treshold=0.5] |
50.7024 |
50.6359 |
50.6755 |
50.6831 |
| LR_1_std_scaler[cache_size=0.1,treshold=0.5] |
50.7033 |
50.6362 |
50.6762 |
50.6836 |
| LR_2[cache_size=0.1,treshold=0.5] |
45.2205 |
45.1853 |
45.2007 |
45.1962 |
| LR_2_log[cache_size=0.1,treshold=0.5] |
56.7584 |
56.7193 |
56.7391 |
56.7443 |
| LR_2_mean[cache_size=0.1,treshold=0.5] |
56.6635 |
56.6314 |
56.6459 |
56.6496 |
| LR_3[cache_size=0.1,treshold=0.5] |
45.2239 |
45.1878 |
45.2031 |
45.1982 |
| LR_3_log[cache_size=0.1,treshold=0.5] |
56.7069 |
56.6659 |
56.6872 |
56.6925 |
| LR_3_mean[cache_size=0.1,treshold=0.5] |
56.6137 |
56.58 |
56.5949 |
56.597 |
| LR_4[cache_size=0.1,treshold=0.5] |
51.9413 |
51.8676 |
51.912 |
51.9257 |
| LR_4_log[cache_size=0.1,treshold=0.5] |
51.481 |
51.4141 |
51.4539 |
51.467 |
| LR_4_mean[cache_size=0.1,treshold=0.5] |
57.5785 |
57.4779 |
57.538 |
57.5545 |
| LR_4_robust_scaler[cache_size=0.1,treshold=0.5] |
51.9373 |
51.8626 |
51.9079 |
51.9215 |
| LR_4_std_scaler[cache_size=0.1,treshold=0.5] |
51.9459 |
51.8691 |
51.9152 |
51.9286 |
| LR_5[cache_size=0.1,treshold=0.5] |
51.958 |
51.8825 |
51.9285 |
51.9419 |
| LR_5_imba[cache_size=0.1,treshold=0.5] |
38.4618 |
38.3938 |
38.423 |
38.4113 |
| LR_6[cache_size=0.1,treshold=0.5] |
51.9456 |
51.8704 |
51.9155 |
51.9291 |
| LR_6_imba[cache_size=0.1,treshold=0.5] |
38.469 |
38.3999 |
38.4297 |
38.418 |
| LR_7[cache_size=0.1,treshold=0.3] |
68.923 |
68.8922 |
68.9102 |
68.9191 |
| LR_7[cache_size=0.1,treshold=0.5] |
54.548 |
54.4748 |
54.5193 |
54.5296 |
| LR_7[cache_size=0.1,treshold=0.6] |
44.6964 |
44.6353 |
44.6727 |
44.6912 |
| LR_7[cache_size=0.1,treshold=0.7] |
31.3573 |
31.2821 |
31.311 |
31.2999 |
| LR_7[cache_size=0.1,treshold=0.8] |
12.5234 |
12.4943 |
12.5057 |
12.5024 |
| LR_7[cache_size=0.1,treshold=0.9] |
0.00770981 |
0.00649424 |
0.00700548 |
0.00685185 |
| LR_8[cache_size=0.1,treshold=0.3] |
69.0532 |
69.0238 |
69.041 |
69.0467 |
| LR_8[cache_size=0.1,treshold=0.5] |
54.6622 |
54.5917 |
54.6359 |
54.6467 |
| LR_8[cache_size=0.1,treshold=0.6] |
44.7504 |
44.6907 |
44.7268 |
44.7461 |
| LR_8[cache_size=0.1,treshold=0.7] |
31.2825 |
31.2146 |
31.2384 |
31.2272 |
| LR_8[cache_size=0.1,treshold=0.8] |
12.2738 |
12.2486 |
12.2584 |
12.258 |
| LR_8[cache_size=0.1,treshold=0.9] |
0.00202563 |
0.001441 |
0.00170174 |
0.00156697 |
| LR_9[cache_size=0.1,treshold=0.3] |
69.0755 |
69.0468 |
69.0634 |
69.0689 |
| LR_9[cache_size=0.1,treshold=0.5] |
54.6932 |
54.6235 |
54.6677 |
54.6782 |
| LR_9[cache_size=0.1,treshold=0.6] |
44.7754 |
44.7194 |
44.7534 |
44.7722 |
| LR_9[cache_size=0.1,treshold=0.7] |
31.2972 |
31.2263 |
31.2513 |
31.24 |
| LR_9[cache_size=0.1,treshold=0.8] |
12.2528 |
12.2285 |
12.2387 |
12.2386 |
| LR_9[cache_size=0.1,treshold=0.9] |
0.00206459 |
0.00149942 |
0.00175042 |
0.00162537 |
| LR_10[cache_size=0.2,treshold=0.3] |
74.4583 |
74.4314 |
74.4462 |
74.449 |
| LR_10[cache_size=0.2,treshold=0.5] |
56.1385 |
56.1264 |
56.1318 |
56.1288 |
| LR_10[cache_size=0.2,treshold=0.6] |
42.9998 |
42.9608 |
42.9763 |
42.9755 |
| LR_10[cache_size=0.2,treshold=0.7] |
23.5909 |
23.5487 |
23.5701 |
23.5765 |
| LR_10[cache_size=0.2,treshold=0.8] |
0.00441873 |
0.00392863 |
0.00420447 |
0.00421954 |
| LR_10[cache_size=0.2,treshold=0.9] |
0.00297914 |
0.00256911 |
0.00273501 |
0.00270989 |
| LR_11[cache_size=0.2,treshold=0.3] |
74.5336 |
74.51 |
74.5207 |
74.5214 |
| LR_11[cache_size=0.2,treshold=0.5] |
56.1767 |
56.1642 |
56.1701 |
56.1677 |
| LR_11[cache_size=0.2,treshold=0.6] |
42.9901 |
42.9512 |
42.9672 |
42.9654 |
| LR_11[cache_size=0.2,treshold=0.7] |
23.4647 |
23.4244 |
23.4461 |
23.4549 |
| LR_11[cache_size=0.2,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.2,treshold=0.3] |
74.5689 |
74.5431 |
74.5558 |
74.5573 |
| LR_12[cache_size=0.2,treshold=0.5] |
56.193 |
56.1809 |
56.1865 |
56.1838 |
| LR_12[cache_size=0.2,treshold=0.6] |
42.9788 |
42.9402 |
42.9555 |
42.9518 |
| LR_12[cache_size=0.2,treshold=0.7] |
23.4095 |
23.3668 |
23.3908 |
23.4003 |
| LR_12[cache_size=0.2,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.2,treshold=0.3] |
74.5525 |
74.5278 |
74.5402 |
74.5423 |
| LR_13[cache_size=0.2,treshold=0.5] |
56.1839 |
56.1722 |
56.1774 |
56.174 |
| LR_13[cache_size=0.2,treshold=0.6] |
42.9849 |
42.9466 |
42.9625 |
42.9601 |
| LR_13[cache_size=0.2,treshold=0.7] |
23.4421 |
23.4012 |
23.4231 |
23.4328 |
| LR_13[cache_size=0.2,treshold=0.8] |
7.9977e-05 |
9.99959e-06 |
3.19886e-05 |
1.99978e-05 |
| LR_13[cache_size=0.2,treshold=0.9] |
9.99653e-06 |
0 |
1.99931e-06 |
0 |
| LR_14[cache_size=0.2,treshold=0.3] |
74.5338 |
74.5102 |
74.521 |
74.5217 |
| LR_14[cache_size=0.2,treshold=0.5] |
56.1768 |
56.1643 |
56.1703 |
56.1678 |
| LR_14[cache_size=0.2,treshold=0.6] |
42.9902 |
42.9513 |
42.9673 |
42.9654 |
| LR_14[cache_size=0.2,treshold=0.7] |
23.4647 |
23.4244 |
23.4461 |
23.455 |
| LR_14[cache_size=0.2,treshold=0.8] |
9.99959e-06 |
0 |
5.99901e-06 |
9.99653e-06 |
| LR_14[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.2,treshold=0.3] |
74.5683 |
74.5423 |
74.555 |
74.5567 |
| LR_15[cache_size=0.2,treshold=0.5] |
56.1948 |
56.1823 |
56.1884 |
56.1859 |
| LR_15[cache_size=0.2,treshold=0.6] |
42.9813 |
42.9424 |
42.9582 |
42.9546 |
| LR_15[cache_size=0.2,treshold=0.7] |
23.4121 |
23.3698 |
23.3935 |
23.4032 |
| LR_15[cache_size=0.2,treshold=0.8] |
0.000109968 |
9.98949e-06 |
6.59849e-05 |
6.99757e-05 |
| LR_15[cache_size=0.2,treshold=0.9] |
3.99885e-05 |
0 |
1.99951e-05 |
1.99978e-05 |
| LR_1[cache_size=0.2,treshold=0.5] |
48.9285 |
48.8866 |
48.9053 |
48.9058 |
| LR_1_log[cache_size=0.2,treshold=0.5] |
51.6398 |
51.583 |
51.6184 |
51.6212 |
| LR_1_mean[cache_size=0.2,treshold=0.5] |
56.1303 |
56.1189 |
56.1236 |
56.1234 |
| LR_1_robust_scaler[cache_size=0.2,treshold=0.5] |
48.9361 |
48.8951 |
48.9127 |
48.9129 |
| LR_1_std_scaler[cache_size=0.2,treshold=0.5] |
48.915 |
48.8762 |
48.8935 |
48.8944 |
| LR_2[cache_size=0.2,treshold=0.5] |
45.075 |
45.026 |
45.0504 |
45.0499 |
| LR_2_log[cache_size=0.2,treshold=0.5] |
56.0714 |
56.0589 |
56.0675 |
56.07 |
| LR_2_mean[cache_size=0.2,treshold=0.5] |
56.1735 |
56.1604 |
56.1658 |
56.1638 |
| LR_3[cache_size=0.2,treshold=0.5] |
45.0802 |
45.0312 |
45.0553 |
45.0549 |
| LR_3_log[cache_size=0.2,treshold=0.5] |
56.0529 |
56.0376 |
56.0471 |
56.0493 |
| LR_3_mean[cache_size=0.2,treshold=0.5] |
56.151 |
56.1385 |
56.1437 |
56.142 |
| LR_4[cache_size=0.2,treshold=0.5] |
49.6087 |
49.5556 |
49.5781 |
49.5801 |
| LR_4_log[cache_size=0.2,treshold=0.5] |
52.3529 |
52.3202 |
52.3315 |
52.3282 |
| LR_4_mean[cache_size=0.2,treshold=0.5] |
57.2244 |
57.196 |
57.2055 |
57.2024 |
| LR_4_robust_scaler[cache_size=0.2,treshold=0.5] |
49.6061 |
49.5576 |
49.5778 |
49.579 |
| LR_4_std_scaler[cache_size=0.2,treshold=0.5] |
49.5937 |
49.5449 |
49.5646 |
49.5642 |
| LR_5[cache_size=0.2,treshold=0.5] |
49.5957 |
49.5459 |
49.5672 |
49.5682 |
| LR_5_imba[cache_size=0.2,treshold=0.5] |
35.6025 |
35.5926 |
35.5958 |
35.5945 |
| LR_6[cache_size=0.2,treshold=0.5] |
49.606 |
49.5576 |
49.5778 |
49.5788 |
| LR_6_imba[cache_size=0.2,treshold=0.5] |
35.6277 |
35.62 |
35.6239 |
35.6227 |
| LR_7[cache_size=0.2,treshold=0.3] |
69.5891 |
69.5646 |
69.5797 |
69.5878 |
| LR_7[cache_size=0.2,treshold=0.5] |
54.8336 |
54.7859 |
54.8112 |
54.8093 |
| LR_7[cache_size=0.2,treshold=0.6] |
44.5147 |
44.4682 |
44.4938 |
44.4933 |
| LR_7[cache_size=0.2,treshold=0.7] |
30.2947 |
30.2775 |
30.2891 |
30.2932 |
| LR_7[cache_size=0.2,treshold=0.8] |
10.4374 |
10.3694 |
10.4005 |
10.3963 |
| LR_7[cache_size=0.2,treshold=0.9] |
0.00777916 |
0.00636331 |
0.00716753 |
0.00743969 |
| LR_8[cache_size=0.2,treshold=0.3] |
69.7063 |
69.6769 |
69.6931 |
69.6982 |
| LR_8[cache_size=0.2,treshold=0.5] |
54.9255 |
54.8923 |
54.9038 |
54.9009 |
| LR_8[cache_size=0.2,treshold=0.6] |
44.5447 |
44.5027 |
44.5249 |
44.5246 |
| LR_8[cache_size=0.2,treshold=0.7] |
30.2211 |
30.2054 |
30.2151 |
30.2175 |
| LR_8[cache_size=0.2,treshold=0.8] |
10.2106 |
10.1508 |
10.1785 |
10.1771 |
| LR_8[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=0.2,treshold=0.3] |
69.7393 |
69.7092 |
69.7248 |
69.7293 |
| LR_9[cache_size=0.2,treshold=0.5] |
54.952 |
54.9204 |
54.9308 |
54.9263 |
| LR_9[cache_size=0.2,treshold=0.6] |
44.5602 |
44.5161 |
44.5394 |
44.5399 |
| LR_9[cache_size=0.2,treshold=0.7] |
30.2082 |
30.1953 |
30.2029 |
30.2049 |
| LR_9[cache_size=0.2,treshold=0.8] |
10.158 |
10.0991 |
10.1267 |
10.1253 |
| LR_9[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=0.4,treshold=0.3] |
74.7041 |
74.6631 |
74.6901 |
74.6924 |
| LR_10[cache_size=0.4,treshold=0.5] |
56.2596 |
56.2169 |
56.2384 |
56.2369 |
| LR_10[cache_size=0.4,treshold=0.6] |
42.7017 |
42.5409 |
42.6008 |
42.5851 |
| LR_10[cache_size=0.4,treshold=0.7] |
21.6635 |
21.515 |
21.5831 |
21.5802 |
| LR_10[cache_size=0.4,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.4,treshold=0.3] |
74.6961 |
74.6552 |
74.6818 |
74.6839 |
| LR_11[cache_size=0.4,treshold=0.5] |
56.2589 |
56.2152 |
56.2375 |
56.2363 |
| LR_11[cache_size=0.4,treshold=0.6] |
42.7111 |
42.5457 |
42.6074 |
42.5912 |
| LR_11[cache_size=0.4,treshold=0.7] |
21.6802 |
21.5303 |
21.5984 |
21.5947 |
| LR_11[cache_size=0.4,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.4,treshold=0.3] |
74.7116 |
74.6719 |
74.6982 |
74.7006 |
| LR_12[cache_size=0.4,treshold=0.5] |
56.2644 |
56.2215 |
56.2429 |
56.2407 |
| LR_12[cache_size=0.4,treshold=0.6] |
42.701 |
42.5402 |
42.5999 |
42.584 |
| LR_12[cache_size=0.4,treshold=0.7] |
21.6484 |
21.4979 |
21.5674 |
21.5647 |
| LR_12[cache_size=0.4,treshold=0.8] |
6.49243e-05 |
0 |
1.94808e-05 |
1.08217e-05 |
| LR_12[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.4,treshold=0.3] |
97.245 |
97.2333 |
97.2396 |
97.239 |
| LR_13[cache_size=0.4,treshold=0.5] |
85.5184 |
85.4949 |
85.5064 |
85.5049 |
| LR_13[cache_size=0.4,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.4,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.4,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.4,treshold=0.3] |
97.245 |
97.2333 |
97.2396 |
97.239 |
| LR_14[cache_size=0.4,treshold=0.5] |
85.5184 |
85.4949 |
85.5064 |
85.5049 |
| LR_14[cache_size=0.4,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.4,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.4,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.4,treshold=0.3] |
97.245 |
97.2333 |
97.2396 |
97.239 |
| LR_15[cache_size=0.4,treshold=0.5] |
85.5184 |
85.4949 |
85.5064 |
85.5049 |
| LR_15[cache_size=0.4,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.4,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.4,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_1[cache_size=0.4,treshold=0.5] |
47.679 |
47.6248 |
47.6513 |
47.6471 |
| LR_1_log[cache_size=0.4,treshold=0.5] |
53.6004 |
53.5133 |
53.5535 |
53.5565 |
| LR_1_mean[cache_size=0.4,treshold=0.5] |
56.1774 |
56.1442 |
56.1597 |
56.1563 |
| LR_1_robust_scaler[cache_size=0.4,treshold=0.5] |
47.6793 |
47.6217 |
47.6501 |
47.6458 |
| LR_1_std_scaler[cache_size=0.4,treshold=0.5] |
47.6618 |
47.6099 |
47.6353 |
47.63 |
| LR_2[cache_size=0.4,treshold=0.5] |
52.7435 |
52.6838 |
52.7129 |
52.7113 |
| LR_2_log[cache_size=0.4,treshold=0.5] |
55.5793 |
55.5449 |
55.5696 |
55.5757 |
| LR_2_mean[cache_size=0.4,treshold=0.5] |
56.1826 |
56.1433 |
56.1618 |
56.157 |
| LR_3[cache_size=0.4,treshold=0.5] |
45.4591 |
45.3881 |
45.4196 |
45.421 |
| LR_3_log[cache_size=0.4,treshold=0.5] |
55.5817 |
55.5481 |
55.5725 |
55.579 |
| LR_3_mean[cache_size=0.4,treshold=0.5] |
56.1745 |
56.1366 |
56.1545 |
56.1498 |
| LR_4[cache_size=0.4,treshold=0.5] |
49.0559 |
48.9897 |
49.0205 |
49.0172 |
| LR_4_log[cache_size=0.4,treshold=0.5] |
53.8212 |
53.7175 |
53.7639 |
53.7702 |
| LR_4_mean[cache_size=0.4,treshold=0.5] |
57.2367 |
57.1551 |
57.1941 |
57.1944 |
| LR_4_robust_scaler[cache_size=0.4,treshold=0.5] |
47.7227 |
47.6629 |
47.6895 |
47.6836 |
| LR_4_std_scaler[cache_size=0.4,treshold=0.5] |
47.6924 |
47.6328 |
47.6584 |
47.6522 |
| LR_5[cache_size=0.4,treshold=0.5] |
47.7061 |
47.6488 |
47.6741 |
47.6681 |
| LR_5_imba[cache_size=0.4,treshold=0.5] |
30.4881 |
30.3955 |
30.4244 |
30.4108 |
| LR_6[cache_size=0.4,treshold=0.5] |
47.7233 |
47.6627 |
47.6897 |
47.6849 |
| LR_6_imba[cache_size=0.4,treshold=0.5] |
30.6833 |
30.5817 |
30.6156 |
30.6029 |
| LR_7[cache_size=0.4,treshold=0.3] |
71.2408 |
71.1857 |
71.2103 |
71.2129 |
| LR_7[cache_size=0.4,treshold=0.5] |
56.0155 |
55.9463 |
55.9762 |
55.9707 |
| LR_7[cache_size=0.4,treshold=0.6] |
44.7207 |
44.6566 |
44.6876 |
44.6848 |
| LR_7[cache_size=0.4,treshold=0.7] |
28.1993 |
28.0878 |
28.1311 |
28.1207 |
| LR_7[cache_size=0.4,treshold=0.8] |
6.74312 |
6.65097 |
6.69731 |
6.71616 |
| LR_7[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_8[cache_size=0.4,treshold=0.3] |
71.2314 |
71.1766 |
71.201 |
71.2032 |
| LR_8[cache_size=0.4,treshold=0.5] |
56.0076 |
55.939 |
55.9691 |
55.964 |
| LR_8[cache_size=0.4,treshold=0.6] |
44.7167 |
44.653 |
44.6843 |
44.6826 |
| LR_8[cache_size=0.4,treshold=0.7] |
28.2041 |
28.0924 |
28.1352 |
28.1246 |
| LR_8[cache_size=0.4,treshold=0.8] |
6.75206 |
6.66728 |
6.7124 |
6.72824 |
| LR_8[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=0.4,treshold=0.3] |
71.2425 |
71.1869 |
71.2115 |
71.2141 |
| LR_9[cache_size=0.4,treshold=0.5] |
56.0155 |
55.947 |
55.9765 |
55.9711 |
| LR_9[cache_size=0.4,treshold=0.6] |
44.718 |
44.654 |
44.6854 |
44.6834 |
| LR_9[cache_size=0.4,treshold=0.7] |
28.1928 |
28.081 |
28.1242 |
28.114 |
| LR_9[cache_size=0.4,treshold=0.8] |
6.73749 |
6.63896 |
6.68599 |
6.69981 |
| LR_9[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| Offline Clock 1st iteration |
0 |
0 |
0 |
0 |
| Offline Clock 2nd iteration |
43.4673 |
41.4753 |
42.6567 |
43.0175 |
| Zipf Optimal Distribution |
17.0869 |
6.59027 |
12.1282 |
13.1121 |
Miss Ratio Reduced (%)
| Model |
Max |
Min |
Avg |
Mdn |
| LR_10[cache_size=0.001,treshold=0.3] |
-3.21687 |
-3.2229 |
-3.2198 |
-3.21918 |
| LR_10[cache_size=0.001,treshold=0.5] |
-2.17022 |
-2.17461 |
-2.17256 |
-2.17253 |
| LR_10[cache_size=0.001,treshold=0.6] |
-1.58558 |
-1.591 |
-1.58861 |
-1.58953 |
| LR_10[cache_size=0.001,treshold=0.7] |
-0.931972 |
-0.93897 |
-0.936225 |
-0.936453 |
| LR_10[cache_size=0.001,treshold=0.8] |
-0.267959 |
-0.269508 |
-0.268521 |
-0.268143 |
| LR_10[cache_size=0.001,treshold=0.9] |
0.000682298 |
0.000341196 |
0.000511724 |
0.000511706 |
| LR_10[cache_size=All,treshold=0.3] |
-3.25695 |
-26.6916 |
-15.5345 |
-17.181 |
| LR_10[cache_size=All,treshold=0.5] |
-0.0279728 |
-26.4195 |
-13.7829 |
-16.2085 |
| LR_10[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.001,treshold=0.3] |
-3.2312 |
-3.23603 |
-3.23314 |
-3.23256 |
| LR_11[cache_size=0.001,treshold=0.5] |
-2.15299 |
-2.15687 |
-2.15499 |
-2.15514 |
| LR_11[cache_size=0.001,treshold=0.6] |
-1.5559 |
-1.56165 |
-1.5592 |
-1.56036 |
| LR_11[cache_size=0.001,treshold=0.7] |
-0.908775 |
-0.914916 |
-0.912481 |
-0.912402 |
| LR_11[cache_size=0.001,treshold=0.8] |
-0.270227 |
-0.272228 |
-0.271284 |
-0.27137 |
| LR_11[cache_size=0.001,treshold=0.9] |
0.00818756 |
0.0075049 |
0.00764181 |
0.00750528 |
| LR_11[cache_size=All,treshold=0.3] |
-3.25661 |
-26.6916 |
-15.5343 |
-17.181 |
| LR_11[cache_size=All,treshold=0.5] |
-0.0286565 |
-26.4207 |
-13.787 |
-16.2117 |
| LR_11[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.001,treshold=0.3] |
-3.21499 |
-3.22051 |
-3.21748 |
-3.21696 |
| LR_12[cache_size=0.001,treshold=0.5] |
-2.16186 |
-2.16557 |
-2.16376 |
-2.16383 |
| LR_12[cache_size=0.001,treshold=0.6] |
-1.57944 |
-1.58502 |
-1.58291 |
-1.58407 |
| LR_12[cache_size=0.001,treshold=0.7] |
-0.936577 |
-0.943235 |
-0.940626 |
-0.940546 |
| LR_12[cache_size=0.001,treshold=0.8] |
-0.286906 |
-0.288953 |
-0.287694 |
-0.287287 |
| LR_12[cache_size=0.001,treshold=0.9] |
0.00579952 |
0.00511724 |
0.00539021 |
0.00528853 |
| LR_12[cache_size=All,treshold=0.3] |
-3.25593 |
-26.6927 |
-15.5354 |
-17.182 |
| LR_12[cache_size=All,treshold=0.5] |
-0.0267802 |
-26.4184 |
-13.7803 |
-16.2071 |
| LR_12[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.001,treshold=0.3] |
-3.52662 |
-3.53197 |
-3.52902 |
-3.5285 |
| LR_13[cache_size=0.001,treshold=0.5] |
-2.43687 |
-2.44023 |
-2.43873 |
-2.43887 |
| LR_13[cache_size=0.001,treshold=0.6] |
-1.80015 |
-1.80615 |
-1.80436 |
-1.80502 |
| LR_13[cache_size=0.001,treshold=0.7] |
-1.06348 |
-1.06914 |
-1.06644 |
-1.06626 |
| LR_13[cache_size=0.001,treshold=0.8] |
-0.281945 |
-0.284859 |
-0.283736 |
-0.283665 |
| LR_13[cache_size=0.001,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=All,treshold=0.3] |
-3.55613 |
-26.7584 |
-15.8329 |
-17.4288 |
| LR_13[cache_size=All,treshold=0.5] |
0.00136459 |
-26.5366 |
-14.077 |
-16.7173 |
| LR_13[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.001,treshold=0.3] |
-3.54368 |
-3.54834 |
-3.54587 |
-3.54556 |
| LR_14[cache_size=0.001,treshold=0.5] |
-2.40702 |
-2.41116 |
-2.40918 |
-2.40851 |
| LR_14[cache_size=0.001,treshold=0.6] |
-1.75393 |
-1.76057 |
-1.75864 |
-1.75914 |
| LR_14[cache_size=0.001,treshold=0.7] |
-1.02288 |
-1.02785 |
-1.02561 |
-1.02532 |
| LR_14[cache_size=0.001,treshold=0.8] |
-0.296102 |
-0.299007 |
-0.297553 |
-0.297311 |
| LR_14[cache_size=0.001,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=All,treshold=0.3] |
-3.57318 |
-26.7573 |
-15.8342 |
-17.4278 |
| LR_14[cache_size=All,treshold=0.5] |
0.00221747 |
-26.5199 |
-13.9948 |
-16.6568 |
| LR_14[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.001,treshold=0.3] |
-3.52662 |
-3.53094 |
-3.52806 |
-3.52765 |
| LR_15[cache_size=0.001,treshold=0.5] |
-2.42476 |
-2.42822 |
-2.42645 |
-2.42625 |
| LR_15[cache_size=0.001,treshold=0.6] |
-1.78804 |
-1.79469 |
-1.79289 |
-1.79376 |
| LR_15[cache_size=0.001,treshold=0.7] |
-1.06467 |
-1.06965 |
-1.06736 |
-1.06711 |
| LR_15[cache_size=0.001,treshold=0.8] |
-0.304289 |
-0.307546 |
-0.306048 |
-0.305541 |
| LR_15[cache_size=0.001,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=All,treshold=0.3] |
-3.56738 |
-26.7584 |
-15.8349 |
-17.4288 |
| LR_15[cache_size=All,treshold=0.5] |
0.00238804 |
-26.5154 |
-13.9961 |
-16.6522 |
| LR_15[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_1[cache_size=0.001,treshold=0.5] |
-2.62791 |
-2.63318 |
-2.63076 |
-2.62991 |
| LR_1[cache_size=All,treshold=0.5] |
0 |
-20.1154 |
-8.79607 |
-9.58326 |
| LR_1_log[cache_size=0.001,treshold=0.5] |
-2.11928 |
-2.12275 |
-2.12057 |
-2.11973 |
| LR_1_log[cache_size=All,treshold=0.5] |
-0.447075 |
-12.5428 |
-6.86296 |
-8.06001 |
| LR_1_mean[cache_size=0.001,treshold=0.5] |
-2.29301 |
-2.32178 |
-2.30704 |
-2.30639 |
| LR_1_mean[cache_size=All,treshold=0.5] |
0.0274662 |
-25.9714 |
-12.57 |
-15.2456 |
| LR_1_robust_scaler[cache_size=0.001,treshold=0.5] |
-2.62774 |
-2.63284 |
-2.63046 |
-2.62957 |
| LR_1_robust_scaler[cache_size=All,treshold=0.5] |
-0.0463939 |
-20.811 |
-9.84902 |
-11.634 |
| LR_1_std_scaler[cache_size=0.001,treshold=0.5] |
-2.62757 |
-2.63249 |
-2.63022 |
-2.62941 |
| LR_1_std_scaler[cache_size=All,treshold=0.5] |
-0.0465645 |
-20.8066 |
-9.84735 |
-11.6322 |
| LR_2[cache_size=0.001,treshold=0.5] |
-2.73792 |
-2.7427 |
-2.74014 |
-2.73993 |
| LR_2[cache_size=All,treshold=0.5] |
0 |
-16.0663 |
-5.46053 |
-2.50822 |
| LR_2_log[cache_size=0.001,treshold=0.5] |
-3.70964 |
-3.71374 |
-3.71099 |
-3.70999 |
| LR_2_log[cache_size=All,treshold=0.5] |
-0.0835814 |
-17.2147 |
-8.97128 |
-10.5699 |
| LR_2_mean[cache_size=0.001,treshold=0.5] |
-3.61703 |
-3.62493 |
-3.62075 |
-3.62077 |
| LR_2_mean[cache_size=All,treshold=0.5] |
0.000682298 |
-24.7407 |
-11.1305 |
-12.9127 |
| LR_3[cache_size=0.001,treshold=0.5] |
-2.97642 |
-2.98051 |
-2.97771 |
-2.97721 |
| LR_3[cache_size=All,treshold=0.5] |
0 |
-16.0663 |
-5.46054 |
-2.50775 |
| LR_3_log[cache_size=0.001,treshold=0.5] |
-3.34462 |
-3.34935 |
-3.34647 |
-3.34605 |
| LR_3_log[cache_size=All,treshold=0.5] |
-0.073174 |
-16.9461 |
-8.81658 |
-10.3848 |
| LR_3_mean[cache_size=0.001,treshold=0.5] |
-3.25722 |
-3.26417 |
-3.26091 |
-3.26088 |
| LR_3_mean[cache_size=All,treshold=0.5] |
0 |
-24.5512 |
-10.9792 |
-12.5683 |
| LR_4[cache_size=0.001,treshold=0.5] |
-2.48856 |
-2.49414 |
-2.49096 |
-2.49039 |
| LR_4[cache_size=All,treshold=0.5] |
-0.431361 |
-18.4488 |
-10.6101 |
-13.371 |
| LR_4_log[cache_size=0.001,treshold=0.5] |
-2.16073 |
-2.16642 |
-2.16352 |
-2.16288 |
| LR_4_log[cache_size=All,treshold=0.5] |
-1.3095 |
-8.25893 |
-5.42126 |
-6.45446 |
| LR_4_mean[cache_size=0.001,treshold=0.5] |
-2.28277 |
-2.31001 |
-2.29654 |
-2.29616 |
| LR_4_mean[cache_size=All,treshold=0.5] |
-0.432555 |
-20.0229 |
-10.8456 |
-11.9511 |
| LR_4_robust_scaler[cache_size=0.001,treshold=0.5] |
-2.4889 |
-2.49431 |
-2.4912 |
-2.49056 |
| LR_4_robust_scaler[cache_size=All,treshold=0.5] |
-0.431531 |
-18.4488 |
-10.6106 |
-13.3719 |
| LR_4_std_scaler[cache_size=0.001,treshold=0.5] |
-2.48804 |
-2.49346 |
-2.49031 |
-2.48971 |
| LR_4_std_scaler[cache_size=All,treshold=0.5] |
-0.432555 |
-18.4577 |
-10.6203 |
-13.3883 |
| LR_5[cache_size=0.001,treshold=0.5] |
-2.49721 |
-2.50079 |
-2.4986 |
-2.49823 |
| LR_5[cache_size=All,treshold=0.5] |
-0.432043 |
-18.4432 |
-10.609 |
-13.3696 |
| LR_5_imba[cache_size=0.001,treshold=0.5] |
-1.61449 |
-1.61784 |
-1.61611 |
-1.61577 |
| LR_5_imba[cache_size=All,treshold=0.5] |
0 |
-9.23627 |
-2.34143 |
0 |
| LR_6[cache_size=0.001,treshold=0.5] |
-2.49721 |
-2.50096 |
-2.4987 |
-2.49823 |
| LR_6[cache_size=All,treshold=0.5] |
-0.432043 |
-18.4488 |
-10.6121 |
-13.3738 |
| LR_6_imba[cache_size=0.001,treshold=0.5] |
-1.61568 |
-1.61887 |
-1.61716 |
-1.61679 |
| LR_6_imba[cache_size=All,treshold=0.5] |
0 |
-9.23259 |
-2.33873 |
0 |
| LR_7[cache_size=0.001,treshold=0.3] |
-3.97043 |
-3.97459 |
-3.97269 |
-3.97284 |
| LR_7[cache_size=0.001,treshold=0.5] |
-2.68215 |
-2.6876 |
-2.68456 |
-2.68416 |
| LR_7[cache_size=0.001,treshold=0.6] |
-1.90788 |
-1.91206 |
-1.91004 |
-1.90958 |
| LR_7[cache_size=0.001,treshold=0.7] |
-1.00809 |
-1.01181 |
-1.00964 |
-1.00895 |
| LR_7[cache_size=0.001,treshold=0.8] |
-0.118736 |
-0.120596 |
-0.119813 |
-0.119908 |
| LR_7[cache_size=0.001,treshold=0.9] |
0.0279742 |
0.0264382 |
0.0270193 |
0.0269494 |
| LR_7[cache_size=All,treshold=0.3] |
-3.70077 |
-26.0015 |
-15.5442 |
-17.1022 |
| LR_7[cache_size=All,treshold=0.5] |
-0.231799 |
-23.5434 |
-12.9866 |
-15.4492 |
| LR_7[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_7[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_7[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_7[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_8[cache_size=0.001,treshold=0.3] |
-4.01444 |
-4.01775 |
-4.01608 |
-4.01587 |
| LR_8[cache_size=0.001,treshold=0.5] |
-2.63729 |
-2.64109 |
-2.63888 |
-2.63759 |
| LR_8[cache_size=0.001,treshold=0.6] |
-1.83384 |
-1.83685 |
-1.83502 |
-1.83453 |
| LR_8[cache_size=0.001,treshold=0.7] |
-0.98609 |
-0.990322 |
-0.98825 |
-0.988138 |
| LR_8[cache_size=0.001,treshold=0.8] |
-0.180322 |
-0.182173 |
-0.181459 |
-0.181491 |
| LR_8[cache_size=0.001,treshold=0.9] |
0.0262684 |
0.024732 |
0.0251088 |
0.0247333 |
| LR_8[cache_size=All,treshold=0.3] |
-3.76882 |
-25.9926 |
-15.5579 |
-17.0987 |
| LR_8[cache_size=All,treshold=0.5] |
-0.198197 |
-23.433 |
-12.7635 |
-15.23 |
| LR_8[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_8[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_8[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_8[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=0.001,treshold=0.3] |
-3.96548 |
-3.96965 |
-3.96764 |
-3.96773 |
| LR_9[cache_size=0.001,treshold=0.5] |
-2.66181 |
-2.66627 |
-2.66403 |
-2.66403 |
| LR_9[cache_size=0.001,treshold=0.6] |
-1.89389 |
-1.89739 |
-1.89551 |
-1.89482 |
| LR_9[cache_size=0.001,treshold=0.7] |
-1.01543 |
-1.0183 |
-1.01657 |
-1.0164 |
| LR_9[cache_size=0.001,treshold=0.8] |
-0.148591 |
-0.150271 |
-0.149664 |
-0.149935 |
| LR_9[cache_size=0.001,treshold=0.9] |
0.0279742 |
0.0262676 |
0.0268828 |
0.0267788 |
| LR_9[cache_size=All,treshold=0.3] |
-3.75808 |
-25.997 |
-15.5573 |
-17.1001 |
| LR_9[cache_size=All,treshold=0.5] |
-0.170939 |
-23.4665 |
-12.7712 |
-15.2422 |
| LR_9[cache_size=All,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=All,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=All,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=All,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=0.01,treshold=0.3] |
-4.75913 |
-4.77055 |
-4.76281 |
-4.76185 |
| LR_10[cache_size=0.01,treshold=0.5] |
-3.23771 |
-3.25293 |
-3.24348 |
-3.24177 |
| LR_10[cache_size=0.01,treshold=0.6] |
-2.36641 |
-2.37553 |
-2.36954 |
-2.36871 |
| LR_10[cache_size=0.01,treshold=0.7] |
-1.37419 |
-1.38484 |
-1.37991 |
-1.37992 |
| LR_10[cache_size=0.01,treshold=0.8] |
-0.381734 |
-0.390036 |
-0.385496 |
-0.386683 |
| LR_10[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.01,treshold=0.3] |
-4.75617 |
-4.76784 |
-4.75966 |
-4.75839 |
| LR_11[cache_size=0.01,treshold=0.5] |
-3.22981 |
-3.24479 |
-3.23563 |
-3.23412 |
| LR_11[cache_size=0.01,treshold=0.6] |
-2.36155 |
-2.37109 |
-2.36485 |
-2.36402 |
| LR_11[cache_size=0.01,treshold=0.7] |
-1.37715 |
-1.38731 |
-1.38218 |
-1.38214 |
| LR_11[cache_size=0.01,treshold=0.8] |
-0.390178 |
-0.398917 |
-0.394232 |
-0.395566 |
| LR_11[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.01,treshold=0.3] |
-4.76061 |
-4.77179 |
-4.7643 |
-4.76308 |
| LR_12[cache_size=0.01,treshold=0.5] |
-3.24116 |
-3.25713 |
-3.24723 |
-3.24537 |
| LR_12[cache_size=0.01,treshold=0.6] |
-2.36789 |
-2.37701 |
-2.37087 |
-2.3697 |
| LR_12[cache_size=0.01,treshold=0.7] |
-1.36926 |
-1.3804 |
-1.37498 |
-1.37473 |
| LR_12[cache_size=0.01,treshold=0.8] |
-0.371864 |
-0.380908 |
-0.37607 |
-0.377059 |
| LR_12[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.01,treshold=0.3] |
-5.92757 |
-5.94018 |
-5.93145 |
-5.93065 |
| LR_13[cache_size=0.01,treshold=0.5] |
-4.06459 |
-4.07702 |
-4.07 |
-4.06935 |
| LR_13[cache_size=0.01,treshold=0.6] |
-2.94703 |
-2.95874 |
-2.9525 |
-2.95253 |
| LR_13[cache_size=0.01,treshold=0.7] |
-1.70312 |
-1.71507 |
-1.71003 |
-1.71132 |
| LR_13[cache_size=0.01,treshold=0.8] |
-0.293395 |
-0.296783 |
-0.295378 |
-0.295903 |
| LR_13[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.01,treshold=0.3] |
-5.91749 |
-5.93105 |
-5.92187 |
-5.92127 |
| LR_14[cache_size=0.01,treshold=0.5] |
-4.04411 |
-4.05629 |
-4.04956 |
-4.04936 |
| LR_14[cache_size=0.01,treshold=0.6] |
-2.93617 |
-2.94812 |
-2.94184 |
-2.94217 |
| LR_14[cache_size=0.01,treshold=0.7] |
-1.7051 |
-1.71729 |
-1.71196 |
-1.7128 |
| LR_14[cache_size=0.01,treshold=0.8] |
-0.316343 |
-0.319617 |
-0.318179 |
-0.318361 |
| LR_14[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.01,treshold=0.3] |
-5.93102 |
-5.94314 |
-5.93495 |
-5.93411 |
| LR_15[cache_size=0.01,treshold=0.5] |
-4.07101 |
-4.08369 |
-4.07661 |
-4.07577 |
| LR_15[cache_size=0.01,treshold=0.6] |
-2.95048 |
-2.96194 |
-2.95541 |
-2.95525 |
| LR_15[cache_size=0.01,treshold=0.7] |
-1.70164 |
-1.71384 |
-1.70865 |
-1.71034 |
| LR_15[cache_size=0.01,treshold=0.8] |
-0.285005 |
-0.288642 |
-0.287136 |
-0.287759 |
| LR_15[cache_size=0.01,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_1[cache_size=0.01,treshold=0.5] |
-3.30088 |
-3.31167 |
-3.30621 |
-3.30691 |
| LR_1_log[cache_size=0.01,treshold=0.5] |
-2.8345 |
-2.84422 |
-2.83928 |
-2.83929 |
| LR_1_mean[cache_size=0.01,treshold=0.5] |
-3.99662 |
-4.04962 |
-4.03214 |
-4.04288 |
| LR_1_robust_scaler[cache_size=0.01,treshold=0.5] |
-3.30112 |
-3.31241 |
-3.3066 |
-3.30691 |
| LR_1_std_scaler[cache_size=0.01,treshold=0.5] |
-3.30186 |
-3.31291 |
-3.30715 |
-3.30741 |
| LR_2[cache_size=0.01,treshold=0.5] |
-3.71197 |
-3.72137 |
-3.71727 |
-3.71805 |
| LR_2_log[cache_size=0.01,treshold=0.5] |
-4.91393 |
-4.93098 |
-4.92148 |
-4.92004 |
| LR_2_mean[cache_size=0.01,treshold=0.5] |
-4.94058 |
-4.95591 |
-4.94764 |
-4.94669 |
| LR_3[cache_size=0.01,treshold=0.5] |
-3.69174 |
-3.70039 |
-3.69644 |
-3.69733 |
| LR_3_log[cache_size=0.01,treshold=0.5] |
-4.84509 |
-4.8599 |
-4.85106 |
-4.8497 |
| LR_3_mean[cache_size=0.01,treshold=0.5] |
-4.86976 |
-4.88507 |
-4.87697 |
-4.87562 |
| LR_4[cache_size=0.01,treshold=0.5] |
-3.15258 |
-3.16482 |
-3.15825 |
-3.15861 |
| LR_4_log[cache_size=0.01,treshold=0.5] |
-2.88879 |
-2.90074 |
-2.89451 |
-2.89383 |
| LR_4_mean[cache_size=0.01,treshold=0.5] |
-3.86831 |
-3.9122 |
-3.89573 |
-3.90247 |
| LR_4_robust_scaler[cache_size=0.01,treshold=0.5] |
-3.15307 |
-3.16556 |
-3.15884 |
-3.15935 |
| LR_4_std_scaler[cache_size=0.01,treshold=0.5] |
-3.15258 |
-3.16507 |
-3.15835 |
-3.15885 |
| LR_5[cache_size=0.01,treshold=0.5] |
-3.15356 |
-3.16581 |
-3.15929 |
-3.15935 |
| LR_5_imba[cache_size=0.01,treshold=0.5] |
-2.01749 |
-2.02827 |
-2.02273 |
-2.02151 |
| LR_6[cache_size=0.01,treshold=0.5] |
-3.15258 |
-3.16482 |
-3.15825 |
-3.15861 |
| LR_6_imba[cache_size=0.01,treshold=0.5] |
-2.01872 |
-2.02975 |
-2.02407 |
-2.02295 |
| LR_7[cache_size=0.01,treshold=0.3] |
-5.19672 |
-5.21209 |
-5.20132 |
-5.19862 |
| LR_7[cache_size=0.01,treshold=0.5] |
-3.43931 |
-3.45556 |
-3.44835 |
-3.44979 |
| LR_7[cache_size=0.01,treshold=0.6] |
-2.44611 |
-2.46043 |
-2.45378 |
-2.45409 |
| LR_7[cache_size=0.01,treshold=0.7] |
-1.33841 |
-1.34486 |
-1.34122 |
-1.34167 |
| LR_7[cache_size=0.01,treshold=0.8] |
-0.234699 |
-0.237081 |
-0.235809 |
-0.235455 |
| LR_7[cache_size=0.01,treshold=0.9] |
0.0399803 |
0.0380085 |
0.0390876 |
0.0389789 |
| LR_8[cache_size=0.01,treshold=0.3] |
-5.19474 |
-5.21061 |
-5.19949 |
-5.19665 |
| LR_8[cache_size=0.01,treshold=0.5] |
-3.43684 |
-3.45334 |
-3.44608 |
-3.44757 |
| LR_8[cache_size=0.01,treshold=0.6] |
-2.44537 |
-2.45969 |
-2.45309 |
-2.4536 |
| LR_8[cache_size=0.01,treshold=0.7] |
-1.34039 |
-1.34659 |
-1.34314 |
-1.34364 |
| LR_8[cache_size=0.01,treshold=0.8] |
-0.238368 |
-0.241028 |
-0.239461 |
-0.239157 |
| LR_8[cache_size=0.01,treshold=0.9] |
0.0399761 |
0.0377616 |
0.0388902 |
0.0387322 |
| LR_9[cache_size=0.01,treshold=0.3] |
-5.2172 |
-5.23283 |
-5.22145 |
-5.21849 |
| LR_9[cache_size=0.01,treshold=0.5] |
-3.45781 |
-3.47284 |
-3.46606 |
-3.46706 |
| LR_9[cache_size=0.01,treshold=0.6] |
-2.45006 |
-2.46413 |
-2.45739 |
-2.4568 |
| LR_9[cache_size=0.01,treshold=0.7] |
-1.31917 |
-1.32585 |
-1.32227 |
-1.32267 |
| LR_9[cache_size=0.01,treshold=0.8] |
-0.20311 |
-0.20649 |
-0.205012 |
-0.205344 |
| LR_9[cache_size=0.01,treshold=0.9] |
0.0402229 |
0.0380085 |
0.0391863 |
0.0389789 |
| LR_10[cache_size=0.1,treshold=0.3] |
-10.324 |
-10.3411 |
-10.3285 |
-10.3258 |
| LR_10[cache_size=0.1,treshold=0.5] |
-7.98478 |
-7.99936 |
-7.9908 |
-7.98939 |
| LR_10[cache_size=0.1,treshold=0.6] |
-6.21124 |
-6.22448 |
-6.21908 |
-6.22072 |
| LR_10[cache_size=0.1,treshold=0.7] |
-2.23289 |
-2.24142 |
-2.23817 |
-2.2393 |
| LR_10[cache_size=0.1,treshold=0.8] |
-0.00187072 |
-0.00233845 |
-0.00224432 |
-0.00233774 |
| LR_10[cache_size=0.1,treshold=0.9] |
-0.00140198 |
-0.00140307 |
-0.00140271 |
-0.00140284 |
| LR_11[cache_size=0.1,treshold=0.3] |
-10.3349 |
-10.3518 |
-10.3396 |
-10.3375 |
| LR_11[cache_size=0.1,treshold=0.5] |
-8.03948 |
-8.05502 |
-8.04579 |
-8.04363 |
| LR_11[cache_size=0.1,treshold=0.6] |
-6.25797 |
-6.27172 |
-6.26686 |
-6.27028 |
| LR_11[cache_size=0.1,treshold=0.7] |
-2.13496 |
-2.14277 |
-2.13811 |
-2.13781 |
| LR_11[cache_size=0.1,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.1,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.1,treshold=0.3] |
-10.3333 |
-10.3504 |
-10.3382 |
-10.3361 |
| LR_12[cache_size=0.1,treshold=0.5] |
-8.07314 |
-8.08776 |
-8.0787 |
-8.07728 |
| LR_12[cache_size=0.1,treshold=0.6] |
-6.28648 |
-6.30072 |
-6.29576 |
-6.29833 |
| LR_12[cache_size=0.1,treshold=0.7] |
-2.09474 |
-2.10396 |
-2.09902 |
-2.09899 |
| LR_12[cache_size=0.1,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.1,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.1,treshold=0.3] |
-10.6382 |
-10.6558 |
-10.6443 |
-10.6421 |
| LR_13[cache_size=0.1,treshold=0.5] |
-7.10103 |
-7.1159 |
-7.10896 |
-7.10953 |
| LR_13[cache_size=0.1,treshold=0.6] |
-5.02797 |
-5.04321 |
-5.0378 |
-5.03969 |
| LR_13[cache_size=0.1,treshold=0.7] |
-2.5044 |
-2.51482 |
-2.50955 |
-2.51009 |
| LR_13[cache_size=0.1,treshold=0.8] |
-0.000467548 |
-0.000935362 |
-0.000748096 |
-0.000934654 |
| LR_13[cache_size=0.1,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.1,treshold=0.3] |
-10.6733 |
-10.6895 |
-10.6785 |
-10.6762 |
| LR_14[cache_size=0.1,treshold=0.5] |
-7.11225 |
-7.12619 |
-7.12009 |
-7.12075 |
| LR_14[cache_size=0.1,treshold=0.6] |
-5.0275 |
-5.04321 |
-5.03752 |
-5.03969 |
| LR_14[cache_size=0.1,treshold=0.7] |
-2.47683 |
-2.48583 |
-2.48103 |
-2.48063 |
| LR_14[cache_size=0.1,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.1,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.1,treshold=0.3] |
-10.6836 |
-10.7003 |
-10.6889 |
-10.686 |
| LR_15[cache_size=0.1,treshold=0.5] |
-7.1244 |
-7.13741 |
-7.1315 |
-7.13244 |
| LR_15[cache_size=0.1,treshold=0.6] |
-5.0247 |
-5.03993 |
-5.03453 |
-5.03689 |
| LR_15[cache_size=0.1,treshold=0.7] |
-2.46515 |
-2.47274 |
-2.46878 |
-2.46847 |
| LR_15[cache_size=0.1,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.1,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_1[cache_size=0.1,treshold=0.5] |
-4.14973 |
-4.16384 |
-4.15709 |
-4.1564 |
| LR_1_log[cache_size=0.1,treshold=0.5] |
-4.01857 |
-4.02868 |
-4.02327 |
-4.02368 |
| LR_1_mean[cache_size=0.1,treshold=0.5] |
-7.04833 |
-7.06071 |
-7.055 |
-7.05716 |
| LR_1_robust_scaler[cache_size=0.1,treshold=0.5] |
-4.14927 |
-4.16291 |
-4.15652 |
-4.15594 |
| LR_1_std_scaler[cache_size=0.1,treshold=0.5] |
-4.15067 |
-4.16478 |
-4.15821 |
-4.15734 |
| LR_2[cache_size=0.1,treshold=0.5] |
-5.38921 |
-5.40088 |
-5.39681 |
-5.3983 |
| LR_2_log[cache_size=0.1,treshold=0.5] |
-7.1286 |
-7.14162 |
-7.13589 |
-7.13758 |
| LR_2_mean[cache_size=0.1,treshold=0.5] |
-7.12533 |
-7.13741 |
-7.13206 |
-7.13291 |
| LR_3[cache_size=0.1,treshold=0.5] |
-5.38968 |
-5.4014 |
-5.39718 |
-5.39877 |
| LR_3_log[cache_size=0.1,treshold=0.5] |
-7.11926 |
-7.13274 |
-7.12663 |
-7.12823 |
| LR_3_mean[cache_size=0.1,treshold=0.5] |
-7.11599 |
-7.12853 |
-7.1228 |
-7.12355 |
| LR_4[cache_size=0.1,treshold=0.5] |
-4.00101 |
-4.01699 |
-4.00877 |
-4.00686 |
| LR_4_log[cache_size=0.1,treshold=0.5] |
-4.04263 |
-4.05393 |
-4.04767 |
-4.04429 |
| LR_4_mean[cache_size=0.1,treshold=0.5] |
-6.61346 |
-6.63356 |
-6.62484 |
-6.62283 |
| LR_4_robust_scaler[cache_size=0.1,treshold=0.5] |
-4.00007 |
-4.01652 |
-4.0083 |
-4.00639 |
| LR_4_std_scaler[cache_size=0.1,treshold=0.5] |
-4.00007 |
-4.01652 |
-4.0083 |
-4.00639 |
| LR_5[cache_size=0.1,treshold=0.5] |
-4.00382 |
-4.02073 |
-4.01223 |
-4.01013 |
| LR_5_imba[cache_size=0.1,treshold=0.5] |
-2.51095 |
-2.52698 |
-2.519 |
-2.51868 |
| LR_6[cache_size=0.1,treshold=0.5] |
-4.00101 |
-4.01745 |
-4.00915 |
-4.00733 |
| LR_6_imba[cache_size=0.1,treshold=0.5] |
-2.51048 |
-2.52605 |
-2.51815 |
-2.51774 |
| LR_7[cache_size=0.1,treshold=0.3] |
-7.48836 |
-7.50548 |
-7.49648 |
-7.49505 |
| LR_7[cache_size=0.1,treshold=0.5] |
-4.77549 |
-4.79008 |
-4.78344 |
-4.78262 |
| LR_7[cache_size=0.1,treshold=0.6] |
-3.2934 |
-3.30703 |
-3.2989 |
-3.29839 |
| LR_7[cache_size=0.1,treshold=0.7] |
-1.69359 |
-1.70679 |
-1.70037 |
-1.70187 |
| LR_7[cache_size=0.1,treshold=0.8] |
-0.231974 |
-0.239418 |
-0.235936 |
-0.236579 |
| LR_7[cache_size=0.1,treshold=0.9] |
-0.00140198 |
-0.00140307 |
-0.00140271 |
-0.00140284 |
| LR_8[cache_size=0.1,treshold=0.3] |
-7.5122 |
-7.52793 |
-7.51883 |
-7.51797 |
| LR_8[cache_size=0.1,treshold=0.5] |
-4.78204 |
-4.79709 |
-4.78999 |
-4.78862 |
| LR_8[cache_size=0.1,treshold=0.6] |
-3.28639 |
-3.30095 |
-3.29227 |
-3.29092 |
| LR_8[cache_size=0.1,treshold=0.7] |
-1.67256 |
-1.68575 |
-1.67877 |
-1.6799 |
| LR_8[cache_size=0.1,treshold=0.8] |
-0.209525 |
-0.216505 |
-0.213212 |
-0.213101 |
| LR_8[cache_size=0.1,treshold=0.9] |
0 |
-0.000467681 |
-0.000280511 |
-0.000467327 |
| LR_9[cache_size=0.1,treshold=0.3] |
-7.51501 |
-7.53074 |
-7.52154 |
-7.52078 |
| LR_9[cache_size=0.1,treshold=0.5] |
-4.78297 |
-4.7985 |
-4.79111 |
-4.78917 |
| LR_9[cache_size=0.1,treshold=0.6] |
-3.28546 |
-3.30049 |
-3.2917 |
-3.29045 |
| LR_9[cache_size=0.1,treshold=0.7] |
-1.66976 |
-1.68341 |
-1.67615 |
-1.67714 |
| LR_9[cache_size=0.1,treshold=0.8] |
-0.205783 |
-0.212734 |
-0.209565 |
-0.209362 |
| LR_9[cache_size=0.1,treshold=0.9] |
0 |
-0.000467681 |
-0.000280511 |
-0.000467327 |
| LR_10[cache_size=0.2,treshold=0.3] |
-12.2754 |
-12.2815 |
-12.2776 |
-12.2778 |
| LR_10[cache_size=0.2,treshold=0.5] |
-8.05348 |
-8.06355 |
-8.0599 |
-8.06154 |
| LR_10[cache_size=0.2,treshold=0.6] |
-5.64452 |
-5.66228 |
-5.6566 |
-5.65871 |
| LR_10[cache_size=0.2,treshold=0.7] |
-2.75628 |
-2.76833 |
-2.7616 |
-2.76271 |
| LR_10[cache_size=0.2,treshold=0.8] |
-0.00196289 |
-0.00196456 |
-0.00196369 |
-0.00196354 |
| LR_10[cache_size=0.2,treshold=0.9] |
-0.00130859 |
-0.00130971 |
-0.00130913 |
-0.00130903 |
| LR_11[cache_size=0.2,treshold=0.3] |
-12.292 |
-12.2985 |
-12.2953 |
-12.2955 |
| LR_11[cache_size=0.2,treshold=0.5] |
-8.05938 |
-8.07009 |
-8.06579 |
-8.06743 |
| LR_11[cache_size=0.2,treshold=0.6] |
-5.64124 |
-5.65966 |
-5.65346 |
-5.65544 |
| LR_11[cache_size=0.2,treshold=0.7] |
-2.73663 |
-2.75001 |
-2.74236 |
-2.74307 |
| LR_11[cache_size=0.2,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.2,treshold=0.3] |
-12.3018 |
-12.3083 |
-12.3045 |
-12.304 |
| LR_12[cache_size=0.2,treshold=0.5] |
-8.06265 |
-8.07271 |
-8.0688 |
-8.07041 |
| LR_12[cache_size=0.2,treshold=0.6] |
-5.63928 |
-5.6577 |
-5.6515 |
-5.65335 |
| LR_12[cache_size=0.2,treshold=0.7] |
-2.72922 |
-2.74215 |
-2.73463 |
-2.73522 |
| LR_12[cache_size=0.2,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.2,treshold=0.3] |
-12.2978 |
-12.3044 |
-12.3007 |
-12.3008 |
| LR_13[cache_size=0.2,treshold=0.5] |
-8.06068 |
-8.0714 |
-8.06723 |
-8.0691 |
| LR_13[cache_size=0.2,treshold=0.6] |
-5.64059 |
-5.65901 |
-5.65255 |
-5.65466 |
| LR_13[cache_size=0.2,treshold=0.7] |
-2.73336 |
-2.74608 |
-2.73908 |
-2.7398 |
| LR_13[cache_size=0.2,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.2,treshold=0.3] |
-12.292 |
-12.2985 |
-12.2954 |
-12.2955 |
| LR_14[cache_size=0.2,treshold=0.5] |
-8.05938 |
-8.07009 |
-8.06592 |
-8.06779 |
| LR_14[cache_size=0.2,treshold=0.6] |
-5.64124 |
-5.65966 |
-5.65346 |
-5.65544 |
| LR_14[cache_size=0.2,treshold=0.7] |
-2.73663 |
-2.75001 |
-2.74236 |
-2.74307 |
| LR_14[cache_size=0.2,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.2,treshold=0.3] |
-12.3011 |
-12.3083 |
-12.3044 |
-12.304 |
| LR_15[cache_size=0.2,treshold=0.5] |
-8.06265 |
-8.07336 |
-8.06933 |
-8.07106 |
| LR_15[cache_size=0.2,treshold=0.6] |
-5.63993 |
-5.65835 |
-5.65202 |
-5.654 |
| LR_15[cache_size=0.2,treshold=0.7] |
-2.72922 |
-2.74215 |
-2.73463 |
-2.73522 |
| LR_15[cache_size=0.2,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_1[cache_size=0.2,treshold=0.5] |
-4.34532 |
-4.3589 |
-4.3518 |
-4.35281 |
| LR_1_log[cache_size=0.2,treshold=0.5] |
-4.49586 |
-4.51532 |
-4.50601 |
-4.50932 |
| LR_1_mean[cache_size=0.2,treshold=0.5] |
-8.05283 |
-8.06224 |
-8.05794 |
-8.05928 |
| LR_1_robust_scaler[cache_size=0.2,treshold=0.5] |
-4.34598 |
-4.3602 |
-4.35245 |
-4.35281 |
| LR_1_std_scaler[cache_size=0.2,treshold=0.5] |
-4.34925 |
-4.36282 |
-4.3552 |
-4.35608 |
| LR_2[cache_size=0.2,treshold=0.5] |
-6.12635 |
-6.15169 |
-6.14085 |
-6.14131 |
| LR_2_log[cache_size=0.2,treshold=0.5] |
-8.0345 |
-8.04915 |
-8.04131 |
-8.04029 |
| LR_2_mean[cache_size=0.2,treshold=0.5] |
-8.06134 |
-8.07205 |
-8.0671 |
-8.06845 |
| LR_3[cache_size=0.2,treshold=0.5] |
-6.127 |
-6.15235 |
-6.14164 |
-6.14262 |
| LR_3_log[cache_size=0.2,treshold=0.5] |
-8.03058 |
-8.04588 |
-8.03725 |
-8.03613 |
| LR_3_mean[cache_size=0.2,treshold=0.5] |
-8.05676 |
-8.06747 |
-8.06252 |
-8.06386 |
| LR_4[cache_size=0.2,treshold=0.5] |
-4.18562 |
-4.20051 |
-4.19182 |
-4.19302 |
| LR_4_log[cache_size=0.2,treshold=0.5] |
-4.49324 |
-4.50943 |
-4.50038 |
-4.49624 |
| LR_4_mean[cache_size=0.2,treshold=0.5] |
-7.44372 |
-7.45725 |
-7.45207 |
-7.45427 |
| LR_4_robust_scaler[cache_size=0.2,treshold=0.5] |
-4.18562 |
-4.1992 |
-4.19169 |
-4.19237 |
| LR_4_std_scaler[cache_size=0.2,treshold=0.5] |
-4.18627 |
-4.20116 |
-4.19287 |
-4.19368 |
| LR_5[cache_size=0.2,treshold=0.5] |
-4.18955 |
-4.20378 |
-4.19562 |
-4.1963 |
| LR_5_imba[cache_size=0.2,treshold=0.5] |
-2.44592 |
-2.46081 |
-2.45239 |
-2.45302 |
| LR_6[cache_size=0.2,treshold=0.5] |
-4.18562 |
-4.1992 |
-4.19169 |
-4.19237 |
| LR_6_imba[cache_size=0.2,treshold=0.5] |
-2.44199 |
-2.45623 |
-2.44872 |
-2.44975 |
| LR_7[cache_size=0.2,treshold=0.3] |
-8.57414 |
-8.57858 |
-8.57596 |
-8.57545 |
| LR_7[cache_size=0.2,treshold=0.5] |
-5.22041 |
-5.23591 |
-5.22656 |
-5.22357 |
| LR_7[cache_size=0.2,treshold=0.6] |
-3.42769 |
-3.44523 |
-3.43567 |
-3.43798 |
| LR_7[cache_size=0.2,treshold=0.7] |
-1.56102 |
-1.57424 |
-1.56833 |
-1.56881 |
| LR_7[cache_size=0.2,treshold=0.8] |
-0.0824656 |
-0.0942717 |
-0.0864022 |
-0.0844324 |
| LR_7[cache_size=0.2,treshold=0.9] |
-0.00196289 |
-0.00261941 |
-0.00209466 |
-0.00196354 |
| LR_8[cache_size=0.2,treshold=0.3] |
-8.59705 |
-8.60215 |
-8.599 |
-8.59867 |
| LR_8[cache_size=0.2,treshold=0.5] |
-5.2263 |
-5.24376 |
-5.23349 |
-5.23031 |
| LR_8[cache_size=0.2,treshold=0.6] |
-3.42246 |
-3.43868 |
-3.42978 |
-3.43143 |
| LR_8[cache_size=0.2,treshold=0.7] |
-1.54465 |
-1.55526 |
-1.55053 |
-1.55114 |
| LR_8[cache_size=0.2,treshold=0.8] |
-0.0687596 |
-0.0792144 |
-0.0729181 |
-0.0719966 |
| LR_8[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=0.2,treshold=0.3] |
-8.60164 |
-8.60739 |
-8.6041 |
-8.60359 |
| LR_9[cache_size=0.2,treshold=0.5] |
-5.22892 |
-5.24507 |
-5.23546 |
-5.23359 |
| LR_9[cache_size=0.2,treshold=0.6] |
-3.4218 |
-3.43868 |
-3.42939 |
-3.43078 |
| LR_9[cache_size=0.2,treshold=0.7] |
-1.54138 |
-1.55264 |
-1.54791 |
-1.54852 |
| LR_9[cache_size=0.2,treshold=0.8] |
-0.0674499 |
-0.0779051 |
-0.0718708 |
-0.0713421 |
| LR_9[cache_size=0.2,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=0.4,treshold=0.3] |
-14.2156 |
-14.275 |
-14.2511 |
-14.2538 |
| LR_10[cache_size=0.4,treshold=0.5] |
-8.93748 |
-8.98745 |
-8.96031 |
-8.95992 |
| LR_10[cache_size=0.4,treshold=0.6] |
-6.01236 |
-6.06569 |
-6.04422 |
-6.04908 |
| LR_10[cache_size=0.4,treshold=0.7] |
-2.61501 |
-2.64685 |
-2.63335 |
-2.64157 |
| LR_10[cache_size=0.4,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_10[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.4,treshold=0.3] |
-14.2123 |
-14.2728 |
-14.2484 |
-14.2516 |
| LR_11[cache_size=0.4,treshold=0.5] |
-8.93726 |
-8.98711 |
-8.96007 |
-8.95981 |
| LR_11[cache_size=0.4,treshold=0.6] |
-6.01314 |
-6.06703 |
-6.0452 |
-6.05019 |
| LR_11[cache_size=0.4,treshold=0.7] |
-2.61635 |
-2.64852 |
-2.63487 |
-2.64336 |
| LR_11[cache_size=0.4,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_11[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_12[cache_size=0.4,treshold=0.3] |
-14.2179 |
-14.2784 |
-14.254 |
-14.2571 |
| LR_12[cache_size=0.4,treshold=0.5] |
-8.93815 |
-8.98867 |
-8.96125 |
-8.96093 |
| LR_12[cache_size=0.4,treshold=0.6] |
-6.01203 |
-6.06558 |
-6.0441 |
-6.0493 |
| LR_12[cache_size=0.4,treshold=0.7] |
-2.61367 |
-2.64473 |
-2.63128 |
-2.63934 |
| LR_12[cache_size=0.4,treshold=0.8] |
0 |
-0.000111479 |
-2.22958e-05 |
0 |
| LR_12[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.4,treshold=0.3] |
-24.7111 |
-24.7763 |
-24.7426 |
-24.7333 |
| LR_13[cache_size=0.4,treshold=0.5] |
-18.4332 |
-18.4889 |
-18.4702 |
-18.4734 |
| LR_13[cache_size=0.4,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.4,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.4,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_13[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.4,treshold=0.3] |
-24.7111 |
-24.7763 |
-24.7426 |
-24.7333 |
| LR_14[cache_size=0.4,treshold=0.5] |
-18.4332 |
-18.4889 |
-18.4702 |
-18.4734 |
| LR_14[cache_size=0.4,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.4,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.4,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_14[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.4,treshold=0.3] |
-24.7111 |
-24.7763 |
-24.7426 |
-24.7333 |
| LR_15[cache_size=0.4,treshold=0.5] |
-18.4332 |
-18.4889 |
-18.4702 |
-18.4734 |
| LR_15[cache_size=0.4,treshold=0.6] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.4,treshold=0.7] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.4,treshold=0.8] |
0 |
0 |
0 |
0 |
| LR_15[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_1[cache_size=0.4,treshold=0.5] |
-4.27173 |
-4.33018 |
-4.29553 |
-4.28948 |
| LR_1_log[cache_size=0.4,treshold=0.5] |
-4.87156 |
-4.92392 |
-4.89566 |
-4.89544 |
| LR_1_mean[cache_size=0.4,treshold=0.5] |
-8.93002 |
-8.97831 |
-8.94945 |
-8.94771 |
| LR_1_robust_scaler[cache_size=0.4,treshold=0.5] |
-4.27263 |
-4.32985 |
-4.29562 |
-4.28925 |
| LR_1_std_scaler[cache_size=0.4,treshold=0.5] |
-4.28934 |
-4.34769 |
-4.31314 |
-4.30698 |
| LR_2[cache_size=0.4,treshold=0.5] |
-8.08884 |
-8.14444 |
-8.11281 |
-8.11011 |
| LR_2_log[cache_size=0.4,treshold=0.5] |
-8.47372 |
-8.52637 |
-8.49845 |
-8.49391 |
| LR_2_mean[cache_size=0.4,treshold=0.5] |
-8.92723 |
-8.98198 |
-8.9513 |
-8.95072 |
| LR_3[cache_size=0.4,treshold=0.5] |
-6.61497 |
-6.67559 |
-6.64662 |
-6.65118 |
| LR_3_log[cache_size=0.4,treshold=0.5] |
-8.47405 |
-8.52804 |
-8.4993 |
-8.49514 |
| LR_3_mean[cache_size=0.4,treshold=0.5] |
-8.92534 |
-8.97998 |
-8.94963 |
-8.94938 |
| LR_4[cache_size=0.4,treshold=0.5] |
-4.48902 |
-4.54879 |
-4.51535 |
-4.50886 |
| LR_4_log[cache_size=0.4,treshold=0.5] |
-4.8496 |
-4.90385 |
-4.87695 |
-4.87794 |
| LR_4_mean[cache_size=0.4,treshold=0.5] |
-8.12873 |
-8.18992 |
-8.16157 |
-8.16416 |
| LR_4_robust_scaler[cache_size=0.4,treshold=0.5] |
-4.20945 |
-4.26642 |
-4.23389 |
-4.22739 |
| LR_4_std_scaler[cache_size=0.4,treshold=0.5] |
-4.22092 |
-4.27712 |
-4.24497 |
-4.23898 |
| LR_5[cache_size=0.4,treshold=0.5] |
-4.22293 |
-4.27991 |
-4.24724 |
-4.24121 |
| LR_5_imba[cache_size=0.4,treshold=0.5] |
-1.87457 |
-1.92023 |
-1.90385 |
-1.90786 |
| LR_6[cache_size=0.4,treshold=0.5] |
-4.20755 |
-4.2653 |
-4.23215 |
-4.22583 |
| LR_6_imba[cache_size=0.4,treshold=0.5] |
-1.86677 |
-1.91856 |
-1.89866 |
-1.90084 |
| LR_7[cache_size=0.4,treshold=0.3] |
-9.46621 |
-9.52188 |
-9.49432 |
-9.49426 |
| LR_7[cache_size=0.4,treshold=0.5] |
-5.35293 |
-5.42246 |
-5.39159 |
-5.38726 |
| LR_7[cache_size=0.4,treshold=0.6] |
-3.23244 |
-3.29443 |
-3.26094 |
-3.25586 |
| LR_7[cache_size=0.4,treshold=0.7] |
-1.19619 |
-1.23474 |
-1.22055 |
-1.22163 |
| LR_7[cache_size=0.4,treshold=0.8] |
-0.102515 |
-0.129588 |
-0.117868 |
-0.122509 |
| LR_7[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_8[cache_size=0.4,treshold=0.3] |
-9.46543 |
-9.52076 |
-9.4928 |
-9.49181 |
| LR_8[cache_size=0.4,treshold=0.5] |
-5.35315 |
-5.42279 |
-5.39183 |
-5.38793 |
| LR_8[cache_size=0.4,treshold=0.6] |
-3.23378 |
-3.29477 |
-3.26206 |
-3.25686 |
| LR_8[cache_size=0.4,treshold=0.7] |
-1.19797 |
-1.2363 |
-1.22197 |
-1.2223 |
| LR_8[cache_size=0.4,treshold=0.8] |
-0.103295 |
-0.130034 |
-0.118113 |
-0.122286 |
| LR_8[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| LR_9[cache_size=0.4,treshold=0.3] |
-9.46666 |
-9.52165 |
-9.49456 |
-9.49459 |
| LR_9[cache_size=0.4,treshold=0.5] |
-5.35326 |
-5.42312 |
-5.39172 |
-5.38693 |
| LR_9[cache_size=0.4,treshold=0.6] |
-3.23233 |
-3.29443 |
-3.2609 |
-3.25575 |
| LR_9[cache_size=0.4,treshold=0.7] |
-1.19608 |
-1.23507 |
-1.22055 |
-1.2213 |
| LR_9[cache_size=0.4,treshold=0.8] |
-0.103183 |
-0.129477 |
-0.118047 |
-0.122509 |
| LR_9[cache_size=0.4,treshold=0.9] |
0 |
0 |
0 |
0 |
| Offline Clock 1st iteration |
0 |
0 |
0 |
0 |
| Offline Clock 2nd iteration |
7.80369 |
0.100977 |
2.73498 |
1.84941 |
| Zipf Optimal Distribution |
3.35401 |
0.0684004 |
1.23463 |
0.902408 |
Model Summaries Plot
Miss Ratio Reduced (%)
Cache Size All
Cache Size 0.001
Cache Size 0.01
Cache Size 0.1
Cache Size 0.2
Cache Size 0.4
Model Classification Report
LR_10_0.001
precision recall f1-score support
0 0.89 0.71 0.79 30469299
1 0.66 0.87 0.75 19888532
accuracy 0.77 50357831
macro avg 0.78 0.79 0.77 50357831
weighted avg 0.80 0.77 0.78 50357831
Accuracy: 0.7738074342399696
precision recall f1-score support
0 0.89 0.71 0.79 30469299
1 0.66 0.87 0.75 19888532
accuracy 0.77 50357831
macro avg 0.78 0.79 0.77 50357831
weighted avg 0.80 0.77 0.78 50357831
Accuracy: 0.7738074342399696
LR_10_0.01
precision recall f1-score support
0 0.89 0.69 0.78 30231476
1 0.65 0.87 0.74 19809713
accuracy 0.76 50041189
macro avg 0.77 0.78 0.76 50041189
weighted avg 0.79 0.76 0.76 50041189
Accuracy: 0.7611738202303706
precision recall f1-score support
0 0.89 0.69 0.78 30231476
1 0.65 0.87 0.74 19809713
accuracy 0.76 50041189
macro avg 0.77 0.78 0.76 50041189
weighted avg 0.79 0.76 0.76 50041189
Accuracy: 0.7611738202303706
LR_10_0.1
precision recall f1-score support
0 0.87 0.59 0.70 29263977
1 0.58 0.86 0.69 18981990
accuracy 0.70 48245967
macro avg 0.72 0.73 0.70 48245967
weighted avg 0.76 0.70 0.70 48245967
Accuracy: 0.698262447511934
precision recall f1-score support
0 0.87 0.59 0.70 29263977
1 0.58 0.86 0.69 18981990
accuracy 0.70 48245967
macro avg 0.72 0.73 0.70 48245967
weighted avg 0.76 0.70 0.70 48245967
Accuracy: 0.698262447511934
LR_10_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202710005355438
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202710005355438
LR_10_0.4
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.77 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.7429382331601068
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.77 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.7429382331601068
LR_10_All
precision recall f1-score support
0 0.73 0.31 0.44 144486817
1 0.43 0.81 0.56 90948310
accuracy 0.51 235435127
macro avg 0.58 0.56 0.50 235435127
weighted avg 0.61 0.51 0.48 235435127
Accuracy: 0.5060794899989584
precision recall f1-score support
0 0.73 0.31 0.44 144486817
1 0.43 0.81 0.56 90948310
accuracy 0.51 235435127
macro avg 0.58 0.56 0.50 235435127
weighted avg 0.61 0.51 0.48 235435127
Accuracy: 0.5060794899989584
LR_11_0.001
precision recall f1-score support
0 0.89 0.71 0.79 30469299
1 0.66 0.86 0.75 19888532
accuracy 0.77 50357831
macro avg 0.77 0.79 0.77 50357831
weighted avg 0.80 0.77 0.77 50357831
Accuracy: 0.7689939822864889
precision recall f1-score support
0 0.89 0.71 0.79 30469299
1 0.66 0.86 0.75 19888532
accuracy 0.77 50357831
macro avg 0.77 0.79 0.77 50357831
weighted avg 0.80 0.77 0.77 50357831
Accuracy: 0.7689939822864889
LR_11_0.01
precision recall f1-score support
0 0.89 0.69 0.78 30231476
1 0.65 0.87 0.74 19809713
accuracy 0.76 50041189
macro avg 0.77 0.78 0.76 50041189
weighted avg 0.79 0.76 0.76 50041189
Accuracy: 0.7614748322626786
precision recall f1-score support
0 0.89 0.69 0.78 30231476
1 0.65 0.87 0.74 19809713
accuracy 0.76 50041189
macro avg 0.77 0.78 0.76 50041189
weighted avg 0.79 0.76 0.76 50041189
Accuracy: 0.7614748322626786
LR_11_0.1
precision recall f1-score support
0 0.87 0.59 0.70 29263977
1 0.58 0.87 0.69 18981990
accuracy 0.70 48245967
macro avg 0.73 0.73 0.70 48245967
weighted avg 0.76 0.70 0.70 48245967
Accuracy: 0.6982573486401464
precision recall f1-score support
0 0.87 0.59 0.70 29263977
1 0.58 0.87 0.69 18981990
accuracy 0.70 48245967
macro avg 0.73 0.73 0.70 48245967
weighted avg 0.76 0.70 0.70 48245967
Accuracy: 0.6982573486401464
LR_11_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202601258885529
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202601258885529
LR_11_0.4
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.77 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.742940891443532
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.77 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.742940891443532
LR_11_All
precision recall f1-score support
0 0.73 0.31 0.44 144486817
1 0.43 0.81 0.56 90948310
accuracy 0.51 235435127
macro avg 0.58 0.56 0.50 235435127
weighted avg 0.61 0.51 0.48 235435127
Accuracy: 0.5060570082220569
precision recall f1-score support
0 0.73 0.31 0.44 144486817
1 0.43 0.81 0.56 90948310
accuracy 0.51 235435127
macro avg 0.58 0.56 0.50 235435127
weighted avg 0.61 0.51 0.48 235435127
Accuracy: 0.5060570082220569
LR_12_0.001
precision recall f1-score support
0 0.89 0.71 0.79 30469299
1 0.66 0.87 0.75 19888532
accuracy 0.77 50357831
macro avg 0.78 0.79 0.77 50357831
weighted avg 0.80 0.77 0.78 50357831
Accuracy: 0.7734336691347965
precision recall f1-score support
0 0.89 0.71 0.79 30469299
1 0.66 0.87 0.75 19888532
accuracy 0.77 50357831
macro avg 0.78 0.79 0.77 50357831
weighted avg 0.80 0.77 0.78 50357831
Accuracy: 0.7734336691347965
LR_12_0.01
precision recall f1-score support
0 0.89 0.69 0.78 30231476
1 0.65 0.87 0.74 19809713
accuracy 0.76 50041189
macro avg 0.77 0.78 0.76 50041189
weighted avg 0.79 0.76 0.76 50041189
Accuracy: 0.7608722086919237
precision recall f1-score support
0 0.89 0.69 0.78 30231476
1 0.65 0.87 0.74 19809713
accuracy 0.76 50041189
macro avg 0.77 0.78 0.76 50041189
weighted avg 0.79 0.76 0.76 50041189
Accuracy: 0.7608722086919237
LR_12_0.1
precision recall f1-score support
0 0.88 0.59 0.70 29263977
1 0.58 0.87 0.69 18981990
accuracy 0.70 48245967
macro avg 0.73 0.73 0.70 48245967
weighted avg 0.76 0.70 0.70 48245967
Accuracy: 0.6982929785612961
precision recall f1-score support
0 0.88 0.59 0.70 29263977
1 0.58 0.87 0.69 18981990
accuracy 0.70 48245967
macro avg 0.73 0.73 0.70 48245967
weighted avg 0.76 0.70 0.70 48245967
Accuracy: 0.6982929785612961
LR_12_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202365352698812
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202365352698812
LR_12_0.4
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.77 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.7429330642756687
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.77 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.7429330642756687
LR_12_All
precision recall f1-score support
0 0.73 0.31 0.44 144486817
1 0.43 0.81 0.56 90948310
accuracy 0.51 235435127
macro avg 0.58 0.56 0.50 235435127
weighted avg 0.61 0.51 0.48 235435127
Accuracy: 0.506046695402424
precision recall f1-score support
0 0.73 0.31 0.44 144486817
1 0.43 0.81 0.56 90948310
accuracy 0.51 235435127
macro avg 0.58 0.56 0.50 235435127
weighted avg 0.61 0.51 0.48 235435127
Accuracy: 0.506046695402424
LR_13_0.001
precision recall f1-score support
0 0.89 0.69 0.78 30469299
1 0.65 0.87 0.74 19888532
accuracy 0.76 50357831
macro avg 0.77 0.78 0.76 50357831
weighted avg 0.79 0.76 0.76 50357831
Accuracy: 0.7611932094533619
precision recall f1-score support
0 0.89 0.69 0.78 30469299
1 0.65 0.87 0.74 19888532
accuracy 0.76 50357831
macro avg 0.77 0.78 0.76 50357831
weighted avg 0.79 0.76 0.76 50357831
Accuracy: 0.7611932094533619
LR_13_0.01
precision recall f1-score support
0 0.87 0.66 0.75 30231476
1 0.62 0.85 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7379024507191466
precision recall f1-score support
0 0.87 0.66 0.75 30231476
1 0.62 0.85 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7379024507191466
LR_13_0.1
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.7041242431724914
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.7041242431724914
LR_13_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202479514829574
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202479514829574
LR_13_0.4
precision recall f1-score support
0 0.89 0.66 0.76 26121772
1 0.58 0.86 0.70 14505950
accuracy 0.73 40627722
macro avg 0.74 0.76 0.73 40627722
weighted avg 0.78 0.73 0.74 40627722
Accuracy: 0.7319589811114686
precision recall f1-score support
0 0.89 0.66 0.76 26121772
1 0.58 0.86 0.70 14505950
accuracy 0.73 40627722
macro avg 0.74 0.76 0.73 40627722
weighted avg 0.78 0.73 0.74 40627722
Accuracy: 0.7319589811114686
LR_13_All
precision recall f1-score support
0 0.69 0.31 0.43 144486817
1 0.41 0.77 0.54 90948310
accuracy 0.49 235435127
macro avg 0.55 0.54 0.49 235435127
weighted avg 0.58 0.49 0.47 235435127
Accuracy: 0.49110166555562457
precision recall f1-score support
0 0.69 0.31 0.43 144486817
1 0.41 0.77 0.54 90948310
accuracy 0.49 235435127
macro avg 0.55 0.54 0.49 235435127
weighted avg 0.58 0.49 0.47 235435127
Accuracy: 0.49110166555562457
LR_14_0.001
precision recall f1-score support
0 0.88 0.69 0.77 30469299
1 0.64 0.86 0.74 19888532
accuracy 0.76 50357831
macro avg 0.76 0.77 0.75 50357831
weighted avg 0.79 0.76 0.76 50357831
Accuracy: 0.7556111779317898
precision recall f1-score support
0 0.88 0.69 0.77 30469299
1 0.64 0.86 0.74 19888532
accuracy 0.76 50357831
macro avg 0.76 0.77 0.75 50357831
weighted avg 0.79 0.76 0.76 50357831
Accuracy: 0.7556111779317898
LR_14_0.01
precision recall f1-score support
0 0.87 0.66 0.75 30231476
1 0.62 0.85 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7379092651055913
precision recall f1-score support
0 0.87 0.66 0.75 30231476
1 0.62 0.85 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7379092651055913
LR_14_0.1
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.7040489622687012
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.7040489622687012
LR_14_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202581329253593
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202581329253593
LR_14_0.4
precision recall f1-score support
0 0.90 0.63 0.74 26121772
1 0.57 0.87 0.69 14505950
accuracy 0.72 40627722
macro avg 0.73 0.75 0.71 40627722
weighted avg 0.78 0.72 0.72 40627722
Accuracy: 0.7152666595483744
precision recall f1-score support
0 0.90 0.63 0.74 26121772
1 0.57 0.87 0.69 14505950
accuracy 0.72 40627722
macro avg 0.73 0.75 0.71 40627722
weighted avg 0.78 0.72 0.72 40627722
Accuracy: 0.7152666595483744
LR_14_All
precision recall f1-score support
0 0.69 0.32 0.44 144486817
1 0.42 0.77 0.54 90948310
accuracy 0.49 235435127
macro avg 0.55 0.55 0.49 235435127
weighted avg 0.58 0.49 0.48 235435127
Accuracy: 0.4946263604920773
precision recall f1-score support
0 0.69 0.32 0.44 144486817
1 0.42 0.77 0.54 90948310
accuracy 0.49 235435127
macro avg 0.55 0.55 0.49 235435127
weighted avg 0.58 0.49 0.48 235435127
Accuracy: 0.4946263604920773
LR_15_0.001
precision recall f1-score support
0 0.89 0.69 0.78 30469299
1 0.65 0.86 0.74 19888532
accuracy 0.76 50357831
macro avg 0.77 0.78 0.76 50357831
weighted avg 0.79 0.76 0.76 50357831
Accuracy: 0.7611176899179792
precision recall f1-score support
0 0.89 0.69 0.78 30469299
1 0.65 0.86 0.74 19888532
accuracy 0.76 50357831
macro avg 0.77 0.78 0.76 50357831
weighted avg 0.79 0.76 0.76 50357831
Accuracy: 0.7611176899179792
LR_15_0.01
precision recall f1-score support
0 0.87 0.66 0.75 30231476
1 0.62 0.85 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7379364227336804
precision recall f1-score support
0 0.87 0.66 0.75 30231476
1 0.62 0.85 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7379364227336804
LR_15_0.1
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.7039353569180197
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.7039353569180197
LR_15_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202286933929675
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202286933929675
LR_15_0.4
precision recall f1-score support
0 0.90 0.63 0.74 26121772
1 0.57 0.87 0.69 14505950
accuracy 0.72 40627722
macro avg 0.73 0.75 0.71 40627722
weighted avg 0.78 0.72 0.72 40627722
Accuracy: 0.7152346124648583
precision recall f1-score support
0 0.90 0.63 0.74 26121772
1 0.57 0.87 0.69 14505950
accuracy 0.72 40627722
macro avg 0.73 0.75 0.71 40627722
weighted avg 0.78 0.72 0.72 40627722
Accuracy: 0.7152346124648583
LR_15_All
precision recall f1-score support
0 0.69 0.32 0.44 144486817
1 0.42 0.77 0.54 90948310
accuracy 0.49 235435127
macro avg 0.55 0.55 0.49 235435127
weighted avg 0.58 0.49 0.48 235435127
Accuracy: 0.49461241609880924
precision recall f1-score support
0 0.69 0.32 0.44 144486817
1 0.42 0.77 0.54 90948310
accuracy 0.49 235435127
macro avg 0.55 0.55 0.49 235435127
weighted avg 0.58 0.49 0.48 235435127
Accuracy: 0.49461241609880924
LR_1_0.001
precision recall f1-score support
0 0.86 0.66 0.75 30469299
1 0.62 0.83 0.71 19888532
accuracy 0.73 50357831
macro avg 0.74 0.75 0.73 50357831
weighted avg 0.76 0.73 0.73 50357831
Accuracy: 0.7289517890474672
precision recall f1-score support
0 0.86 0.66 0.75 30469299
1 0.62 0.83 0.71 19888532
accuracy 0.73 50357831
macro avg 0.74 0.75 0.73 50357831
weighted avg 0.76 0.73 0.73 50357831
Accuracy: 0.7289517890474672
LR_1_0.01
precision recall f1-score support
0 0.86 0.68 0.76 30231476
1 0.63 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.74 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7399302402666731
precision recall f1-score support
0 0.86 0.68 0.76 30231476
1 0.63 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.74 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7399302402666731
LR_1_0.1
precision recall f1-score support
0 0.86 0.73 0.79 29263977
1 0.67 0.82 0.74 18981990
accuracy 0.77 48245967
macro avg 0.76 0.78 0.76 48245967
weighted avg 0.79 0.77 0.77 48245967
Accuracy: 0.7676230637060296
precision recall f1-score support
0 0.86 0.73 0.79 29263977
1 0.67 0.82 0.74 18981990
accuracy 0.77 48245967
macro avg 0.76 0.78 0.76 48245967
weighted avg 0.79 0.77 0.77 48245967
Accuracy: 0.7676230637060296
LR_1_0.2
precision recall f1-score support
0 0.87 0.75 0.81 28400293
1 0.67 0.81 0.74 17762125
accuracy 0.78 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.78 0.78 46162418
Accuracy: 0.7765185523860557
precision recall f1-score support
0 0.87 0.75 0.81 28400293
1 0.67 0.81 0.74 17762125
accuracy 0.78 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.78 0.78 46162418
Accuracy: 0.7765185523860557
LR_1_0.4
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7780763587975718
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7780763587975718
LR_1_All
precision recall f1-score support
0 0.67 0.60 0.63 144486817
1 0.46 0.54 0.50 90948310
accuracy 0.58 235435127
macro avg 0.57 0.57 0.57 235435127
weighted avg 0.59 0.58 0.58 235435127
Accuracy: 0.5767005872492426
precision recall f1-score support
0 0.67 0.60 0.63 144486817
1 0.46 0.54 0.50 90948310
accuracy 0.58 235435127
macro avg 0.57 0.57 0.57 235435127
weighted avg 0.59 0.58 0.58 235435127
Accuracy: 0.5767005872492426
LR_1_log_0.001
precision recall f1-score support
0 0.83 0.73 0.78 30469299
1 0.65 0.77 0.71 19888532
accuracy 0.75 50357831
macro avg 0.74 0.75 0.74 50357831
weighted avg 0.76 0.75 0.75 50357831
Accuracy: 0.7465433131939301
precision recall f1-score support
0 0.83 0.73 0.78 30469299
1 0.65 0.77 0.71 19888532
accuracy 0.75 50357831
macro avg 0.74 0.75 0.74 50357831
weighted avg 0.76 0.75 0.75 50357831
Accuracy: 0.7465433131939301
LR_1_log_0.01
precision recall f1-score support
0 0.84 0.73 0.78 30231476
1 0.66 0.78 0.71 19809713
accuracy 0.75 50041189
macro avg 0.75 0.76 0.75 50041189
weighted avg 0.77 0.75 0.75 50041189
Accuracy: 0.751373373642261
precision recall f1-score support
0 0.84 0.73 0.78 30231476
1 0.66 0.78 0.71 19809713
accuracy 0.75 50041189
macro avg 0.75 0.76 0.75 50041189
weighted avg 0.77 0.75 0.75 50041189
Accuracy: 0.751373373642261
LR_1_log_0.1
precision recall f1-score support
0 0.86 0.73 0.79 29263977
1 0.66 0.81 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.761670193075413
precision recall f1-score support
0 0.86 0.73 0.79 29263977
1 0.66 0.81 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.761670193075413
LR_1_log_0.2
precision recall f1-score support
0 0.87 0.72 0.79 28400293
1 0.65 0.83 0.73 17762125
accuracy 0.76 46162418
macro avg 0.76 0.77 0.76 46162418
weighted avg 0.79 0.76 0.77 46162418
Accuracy: 0.7624651507639829
precision recall f1-score support
0 0.87 0.72 0.79 28400293
1 0.65 0.83 0.73 17762125
accuracy 0.76 46162418
macro avg 0.76 0.77 0.76 46162418
weighted avg 0.79 0.76 0.77 46162418
Accuracy: 0.7624651507639829
LR_1_log_0.4
precision recall f1-score support
0 0.88 0.71 0.79 26121772
1 0.61 0.83 0.71 14505950
accuracy 0.75 40627722
macro avg 0.75 0.77 0.75 40627722
weighted avg 0.79 0.75 0.76 40627722
Accuracy: 0.7535204164289595
precision recall f1-score support
0 0.88 0.71 0.79 26121772
1 0.61 0.83 0.71 14505950
accuracy 0.75 40627722
macro avg 0.75 0.77 0.75 40627722
weighted avg 0.79 0.75 0.76 40627722
Accuracy: 0.7535204164289595
LR_1_log_All
precision recall f1-score support
0 0.73 0.56 0.64 144486817
1 0.49 0.67 0.57 90948310
accuracy 0.61 235435127
macro avg 0.61 0.62 0.60 235435127
weighted avg 0.64 0.61 0.61 235435127
Accuracy: 0.6053789670901573
precision recall f1-score support
0 0.73 0.56 0.64 144486817
1 0.49 0.67 0.57 90948310
accuracy 0.61 235435127
macro avg 0.61 0.62 0.60 235435127
weighted avg 0.64 0.61 0.61 235435127
Accuracy: 0.6053789670901573
LR_1_mean_0.001
precision recall f1-score support
0 0.86 0.71 0.78 30469299
1 0.65 0.82 0.73 19888532
accuracy 0.75 50357831
macro avg 0.75 0.77 0.75 50357831
weighted avg 0.78 0.75 0.76 50357831
Accuracy: 0.7549619243926531
precision recall f1-score support
0 0.86 0.71 0.78 30469299
1 0.65 0.82 0.73 19888532
accuracy 0.75 50357831
macro avg 0.75 0.77 0.75 50357831
weighted avg 0.78 0.75 0.76 50357831
Accuracy: 0.7549619243926531
LR_1_mean_0.01
precision recall f1-score support
0 0.81 0.66 0.73 30231476
1 0.60 0.76 0.67 19809713
accuracy 0.70 50041189
macro avg 0.70 0.71 0.70 50041189
weighted avg 0.73 0.70 0.71 50041189
Accuracy: 0.7019766456788227
precision recall f1-score support
0 0.81 0.66 0.73 30231476
1 0.60 0.76 0.67 19809713
accuracy 0.70 50041189
macro avg 0.70 0.71 0.70 50041189
weighted avg 0.73 0.70 0.71 50041189
Accuracy: 0.7019766456788227
LR_1_mean_0.1
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.7043372143416672
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.7043372143416672
LR_1_mean_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7203463865346048
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7203463865346048
LR_1_mean_0.4
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.7424505612202427
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.7424505612202427
LR_1_mean_All
precision recall f1-score support
0 0.69 0.39 0.50 144486817
1 0.42 0.72 0.53 90948310
accuracy 0.52 235435127
macro avg 0.55 0.55 0.51 235435127
weighted avg 0.58 0.52 0.51 235435127
Accuracy: 0.5151163105750146
precision recall f1-score support
0 0.69 0.39 0.50 144486817
1 0.42 0.72 0.53 90948310
accuracy 0.52 235435127
macro avg 0.55 0.55 0.51 235435127
weighted avg 0.58 0.52 0.51 235435127
Accuracy: 0.5151163105750146
LR_1_robust_scaler_0.001
precision recall f1-score support
0 0.86 0.66 0.75 30469299
1 0.62 0.83 0.71 19888532
accuracy 0.73 50357831
macro avg 0.74 0.75 0.73 50357831
weighted avg 0.76 0.73 0.73 50357831
Accuracy: 0.7289659477192336
precision recall f1-score support
0 0.86 0.66 0.75 30469299
1 0.62 0.83 0.71 19888532
accuracy 0.73 50357831
macro avg 0.74 0.75 0.73 50357831
weighted avg 0.76 0.73 0.73 50357831
Accuracy: 0.7289659477192336
LR_1_robust_scaler_0.01
precision recall f1-score support
0 0.86 0.68 0.76 30231476
1 0.63 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.74 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7398954289435449
precision recall f1-score support
0 0.86 0.68 0.76 30231476
1 0.63 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.74 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7398954289435449
LR_1_robust_scaler_0.1
precision recall f1-score support
0 0.86 0.73 0.79 29263977
1 0.67 0.82 0.74 18981990
accuracy 0.77 48245967
macro avg 0.76 0.78 0.76 48245967
weighted avg 0.79 0.77 0.77 48245967
Accuracy: 0.7676340283530849
precision recall f1-score support
0 0.86 0.73 0.79 29263977
1 0.67 0.82 0.74 18981990
accuracy 0.77 48245967
macro avg 0.76 0.78 0.76 48245967
weighted avg 0.79 0.77 0.77 48245967
Accuracy: 0.7676340283530849
LR_1_robust_scaler_0.2
precision recall f1-score support
0 0.87 0.75 0.81 28400293
1 0.67 0.81 0.74 17762125
accuracy 0.78 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.78 0.78 46162418
Accuracy: 0.7765035618368171
precision recall f1-score support
0 0.87 0.75 0.81 28400293
1 0.67 0.81 0.74 17762125
accuracy 0.78 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.78 0.78 46162418
Accuracy: 0.7765035618368171
LR_1_robust_scaler_0.4
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7780789678535263
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7780789678535263
LR_1_robust_scaler_All
precision recall f1-score support
0 0.69 0.51 0.59 144486817
1 0.45 0.63 0.52 90948310
accuracy 0.56 235435127
macro avg 0.57 0.57 0.55 235435127
weighted avg 0.59 0.56 0.56 235435127
Accuracy: 0.5569676355049601
precision recall f1-score support
0 0.69 0.51 0.59 144486817
1 0.45 0.63 0.52 90948310
accuracy 0.56 235435127
macro avg 0.57 0.57 0.55 235435127
weighted avg 0.59 0.56 0.56 235435127
Accuracy: 0.5569676355049601
LR_1_std_scaler_0.001
precision recall f1-score support
0 0.86 0.66 0.75 30469299
1 0.62 0.83 0.71 19888532
accuracy 0.73 50357831
macro avg 0.74 0.75 0.73 50357831
weighted avg 0.76 0.73 0.73 50357831
Accuracy: 0.7289902934858334
precision recall f1-score support
0 0.86 0.66 0.75 30469299
1 0.62 0.83 0.71 19888532
accuracy 0.73 50357831
macro avg 0.74 0.75 0.73 50357831
weighted avg 0.76 0.73 0.73 50357831
Accuracy: 0.7289902934858334
LR_1_std_scaler_0.01
precision recall f1-score support
0 0.86 0.68 0.76 30231476
1 0.63 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.74 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.739903102622122
precision recall f1-score support
0 0.86 0.68 0.76 30231476
1 0.63 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.74 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.739903102622122
LR_1_std_scaler_0.1
precision recall f1-score support
0 0.86 0.73 0.79 29263977
1 0.67 0.82 0.74 18981990
accuracy 0.77 48245967
macro avg 0.76 0.78 0.76 48245967
weighted avg 0.79 0.77 0.77 48245967
Accuracy: 0.7676588387170269
precision recall f1-score support
0 0.86 0.73 0.79 29263977
1 0.67 0.82 0.74 18981990
accuracy 0.77 48245967
macro avg 0.76 0.78 0.76 48245967
weighted avg 0.79 0.77 0.77 48245967
Accuracy: 0.7676588387170269
LR_1_std_scaler_0.2
precision recall f1-score support
0 0.87 0.75 0.81 28400293
1 0.67 0.81 0.74 17762125
accuracy 0.78 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.78 0.78 46162418
Accuracy: 0.7765868113754353
precision recall f1-score support
0 0.87 0.75 0.81 28400293
1 0.67 0.81 0.74 17762125
accuracy 0.78 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.78 0.78 46162418
Accuracy: 0.7765868113754353
LR_1_std_scaler_0.4
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7782466120054676
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7782466120054676
LR_1_std_scaler_All
precision recall f1-score support
0 0.69 0.51 0.59 144486817
1 0.45 0.63 0.52 90948310
accuracy 0.56 235435127
macro avg 0.57 0.57 0.55 235435127
weighted avg 0.59 0.56 0.56 235435127
Accuracy: 0.5570035307433118
precision recall f1-score support
0 0.69 0.51 0.59 144486817
1 0.45 0.63 0.52 90948310
accuracy 0.56 235435127
macro avg 0.57 0.57 0.55 235435127
weighted avg 0.59 0.56 0.56 235435127
Accuracy: 0.5570035307433118
LR_2_0.001
precision recall f1-score support
0 0.74 0.71 0.72 30469299
1 0.58 0.61 0.59 19888532
accuracy 0.67 50357831
macro avg 0.66 0.66 0.66 50357831
weighted avg 0.67 0.67 0.67 50357831
Accuracy: 0.6680608225560787
precision recall f1-score support
0 0.74 0.71 0.72 30469299
1 0.58 0.61 0.59 19888532
accuracy 0.67 50357831
macro avg 0.66 0.66 0.66 50357831
weighted avg 0.67 0.67 0.67 50357831
Accuracy: 0.6680608225560787
LR_2_0.01
precision recall f1-score support
0 0.75 0.71 0.73 30231476
1 0.59 0.63 0.61 19809713
accuracy 0.68 50041189
macro avg 0.67 0.67 0.67 50041189
weighted avg 0.68 0.68 0.68 50041189
Accuracy: 0.6778870302222435
precision recall f1-score support
0 0.75 0.71 0.73 30231476
1 0.59 0.63 0.61 19809713
accuracy 0.68 50041189
macro avg 0.67 0.67 0.67 50041189
weighted avg 0.68 0.68 0.68 50041189
Accuracy: 0.6778870302222435
LR_2_0.1
precision recall f1-score support
0 0.78 0.73 0.75 29263977
1 0.62 0.68 0.65 18981990
accuracy 0.71 48245967
macro avg 0.70 0.70 0.70 48245967
weighted avg 0.72 0.71 0.71 48245967
Accuracy: 0.7090260414927532
precision recall f1-score support
0 0.78 0.73 0.75 29263977
1 0.62 0.68 0.65 18981990
accuracy 0.71 48245967
macro avg 0.70 0.70 0.70 48245967
weighted avg 0.72 0.71 0.71 48245967
Accuracy: 0.7090260414927532
LR_2_0.2
precision recall f1-score support
0 0.80 0.74 0.77 28400293
1 0.63 0.71 0.67 17762125
accuracy 0.73 46162418
macro avg 0.72 0.72 0.72 46162418
weighted avg 0.74 0.73 0.73 46162418
Accuracy: 0.7284046299307805
precision recall f1-score support
0 0.80 0.74 0.77 28400293
1 0.63 0.71 0.67 17762125
accuracy 0.73 46162418
macro avg 0.72 0.72 0.72 46162418
weighted avg 0.74 0.73 0.73 46162418
Accuracy: 0.7284046299307805
LR_2_0.4
precision recall f1-score support
0 0.85 0.69 0.77 26121772
1 0.59 0.78 0.67 14505950
accuracy 0.73 40627722
macro avg 0.72 0.74 0.72 40627722
weighted avg 0.76 0.73 0.73 40627722
Accuracy: 0.726333216516545
precision recall f1-score support
0 0.85 0.69 0.77 26121772
1 0.59 0.78 0.67 14505950
accuracy 0.73 40627722
macro avg 0.72 0.74 0.72 40627722
weighted avg 0.76 0.73 0.73 40627722
Accuracy: 0.726333216516545
LR_2_All
precision recall f1-score support
0 0.67 0.78 0.72 144486817
1 0.53 0.39 0.45 90948310
accuracy 0.63 235435127
macro avg 0.60 0.59 0.59 235435127
weighted avg 0.62 0.63 0.62 235435127
Accuracy: 0.6319147567134279
precision recall f1-score support
0 0.67 0.78 0.72 144486817
1 0.53 0.39 0.45 90948310
accuracy 0.63 235435127
macro avg 0.60 0.59 0.59 235435127
weighted avg 0.62 0.63 0.62 235435127
Accuracy: 0.6319147567134279
LR_2_log_0.001
precision recall f1-score support
0 0.78 0.60 0.68 30469299
1 0.55 0.74 0.63 19888532
accuracy 0.66 50357831
macro avg 0.66 0.67 0.65 50357831
weighted avg 0.69 0.66 0.66 50357831
Accuracy: 0.6557921249626498
precision recall f1-score support
0 0.78 0.60 0.68 30469299
1 0.55 0.74 0.63 19888532
accuracy 0.66 50357831
macro avg 0.66 0.67 0.65 50357831
weighted avg 0.69 0.66 0.66 50357831
Accuracy: 0.6557921249626498
LR_2_log_0.01
precision recall f1-score support
0 0.80 0.61 0.69 30231476
1 0.56 0.76 0.65 19809713
accuracy 0.67 50041189
macro avg 0.68 0.69 0.67 50041189
weighted avg 0.70 0.67 0.68 50041189
Accuracy: 0.6719362523540358
precision recall f1-score support
0 0.80 0.61 0.69 30231476
1 0.56 0.76 0.65 19809713
accuracy 0.67 50041189
macro avg 0.68 0.69 0.67 50041189
weighted avg 0.70 0.67 0.68 50041189
Accuracy: 0.6719362523540358
LR_2_log_0.1
precision recall f1-score support
0 0.83 0.64 0.73 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.71 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.71 0.71 48245967
Accuracy: 0.7052470313218098
precision recall f1-score support
0 0.83 0.64 0.73 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.71 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.71 0.71 48245967
Accuracy: 0.7052470313218098
LR_2_log_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.81 0.69 17762125
accuracy 0.72 46162418
macro avg 0.72 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7193205087307168
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.81 0.69 17762125
accuracy 0.72 46162418
macro avg 0.72 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7193205087307168
LR_2_log_0.4
precision recall f1-score support
0 0.88 0.69 0.77 26121772
1 0.59 0.83 0.69 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.73 40627722
weighted avg 0.78 0.74 0.74 40627722
Accuracy: 0.7374874968377504
precision recall f1-score support
0 0.88 0.69 0.77 26121772
1 0.59 0.83 0.69 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.73 40627722
weighted avg 0.78 0.74 0.74 40627722
Accuracy: 0.7374874968377504
LR_2_log_All
precision recall f1-score support
0 0.69 0.54 0.60 144486817
1 0.46 0.62 0.52 90948310
accuracy 0.57 235435127
macro avg 0.57 0.58 0.56 235435127
weighted avg 0.60 0.57 0.57 235435127
Accuracy: 0.567944417232183
precision recall f1-score support
0 0.69 0.54 0.60 144486817
1 0.46 0.62 0.52 90948310
accuracy 0.57 235435127
macro avg 0.57 0.58 0.56 235435127
weighted avg 0.60 0.57 0.57 235435127
Accuracy: 0.567944417232183
LR_2_mean_0.001
precision recall f1-score support
0 0.78 0.60 0.68 30469299
1 0.55 0.74 0.63 19888532
accuracy 0.66 50357831
macro avg 0.67 0.67 0.66 50357831
weighted avg 0.69 0.66 0.66 50357831
Accuracy: 0.6570688876572146
precision recall f1-score support
0 0.78 0.60 0.68 30469299
1 0.55 0.74 0.63 19888532
accuracy 0.66 50357831
macro avg 0.67 0.67 0.66 50357831
weighted avg 0.69 0.66 0.66 50357831
Accuracy: 0.6570688876572146
LR_2_mean_0.01
precision recall f1-score support
0 0.80 0.60 0.69 30231476
1 0.56 0.77 0.65 19809713
accuracy 0.67 50041189
macro avg 0.68 0.69 0.67 50041189
weighted avg 0.70 0.67 0.67 50041189
Accuracy: 0.6680492943522984
precision recall f1-score support
0 0.80 0.60 0.69 30231476
1 0.56 0.77 0.65 19809713
accuracy 0.67 50041189
macro avg 0.68 0.69 0.67 50041189
weighted avg 0.70 0.67 0.67 50041189
Accuracy: 0.6680492943522984
LR_2_mean_0.1
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.7039362896384687
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.7039362896384687
LR_2_mean_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202753980521558
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7202753980521558
LR_2_mean_0.4
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.7423285509337688
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.7423285509337688
LR_2_mean_All
precision recall f1-score support
0 0.65 0.51 0.57 144486817
1 0.42 0.55 0.48 90948310
accuracy 0.53 235435127
macro avg 0.53 0.53 0.53 235435127
weighted avg 0.56 0.53 0.54 235435127
Accuracy: 0.5302307076717571
precision recall f1-score support
0 0.65 0.51 0.57 144486817
1 0.42 0.55 0.48 90948310
accuracy 0.53 235435127
macro avg 0.53 0.53 0.53 235435127
weighted avg 0.56 0.53 0.54 235435127
Accuracy: 0.5302307076717571
LR_3_0.001
precision recall f1-score support
0 0.74 0.68 0.71 30469299
1 0.56 0.64 0.60 19888532
accuracy 0.66 50357831
macro avg 0.65 0.66 0.65 50357831
weighted avg 0.67 0.66 0.67 50357831
Accuracy: 0.6633904863773818
precision recall f1-score support
0 0.74 0.68 0.71 30469299
1 0.56 0.64 0.60 19888532
accuracy 0.66 50357831
macro avg 0.65 0.66 0.65 50357831
weighted avg 0.67 0.66 0.67 50357831
Accuracy: 0.6633904863773818
LR_3_0.01
precision recall f1-score support
0 0.75 0.71 0.73 30231476
1 0.59 0.63 0.61 19809713
accuracy 0.68 50041189
macro avg 0.67 0.67 0.67 50041189
weighted avg 0.68 0.68 0.68 50041189
Accuracy: 0.6782051881301222
precision recall f1-score support
0 0.75 0.71 0.73 30231476
1 0.59 0.63 0.61 19809713
accuracy 0.68 50041189
macro avg 0.67 0.67 0.67 50041189
weighted avg 0.68 0.68 0.68 50041189
Accuracy: 0.6782051881301222
LR_3_0.1
precision recall f1-score support
0 0.78 0.73 0.75 29263977
1 0.62 0.68 0.65 18981990
accuracy 0.71 48245967
macro avg 0.70 0.70 0.70 48245967
weighted avg 0.72 0.71 0.71 48245967
Accuracy: 0.7090318243595366
precision recall f1-score support
0 0.78 0.73 0.75 29263977
1 0.62 0.68 0.65 18981990
accuracy 0.71 48245967
macro avg 0.70 0.70 0.70 48245967
weighted avg 0.72 0.71 0.71 48245967
Accuracy: 0.7090318243595366
LR_3_0.2
precision recall f1-score support
0 0.80 0.74 0.77 28400293
1 0.63 0.71 0.67 17762125
accuracy 0.73 46162418
macro avg 0.72 0.72 0.72 46162418
weighted avg 0.74 0.73 0.73 46162418
Accuracy: 0.7283977628728201
precision recall f1-score support
0 0.80 0.74 0.77 28400293
1 0.63 0.71 0.67 17762125
accuracy 0.73 46162418
macro avg 0.72 0.72 0.72 46162418
weighted avg 0.74 0.73 0.73 46162418
Accuracy: 0.7283977628728201
LR_3_0.4
precision recall f1-score support
0 0.84 0.76 0.80 26121772
1 0.63 0.74 0.68 14505950
accuracy 0.75 40627722
macro avg 0.74 0.75 0.74 40627722
weighted avg 0.77 0.75 0.76 40627722
Accuracy: 0.7534139866370061
precision recall f1-score support
0 0.84 0.76 0.80 26121772
1 0.63 0.74 0.68 14505950
accuracy 0.75 40627722
macro avg 0.74 0.75 0.74 40627722
weighted avg 0.77 0.75 0.76 40627722
Accuracy: 0.7534139866370061
LR_3_All
precision recall f1-score support
0 0.67 0.78 0.72 144486817
1 0.53 0.39 0.45 90948310
accuracy 0.63 235435127
macro avg 0.60 0.59 0.59 235435127
weighted avg 0.62 0.63 0.62 235435127
Accuracy: 0.6319136353854283
precision recall f1-score support
0 0.67 0.78 0.72 144486817
1 0.53 0.39 0.45 90948310
accuracy 0.63 235435127
macro avg 0.60 0.59 0.59 235435127
weighted avg 0.62 0.63 0.62 235435127
Accuracy: 0.6319136353854283
LR_3_log_0.001
precision recall f1-score support
0 0.76 0.64 0.70 30469299
1 0.56 0.70 0.62 19888532
accuracy 0.66 50357831
macro avg 0.66 0.67 0.66 50357831
weighted avg 0.68 0.66 0.67 50357831
Accuracy: 0.6628697927835693
precision recall f1-score support
0 0.76 0.64 0.70 30469299
1 0.56 0.70 0.62 19888532
accuracy 0.66 50357831
macro avg 0.66 0.67 0.66 50357831
weighted avg 0.68 0.66 0.67 50357831
Accuracy: 0.6628697927835693
LR_3_log_0.01
precision recall f1-score support
0 0.79 0.62 0.70 30231476
1 0.57 0.75 0.65 19809713
accuracy 0.67 50041189
macro avg 0.68 0.69 0.67 50041189
weighted avg 0.70 0.67 0.68 50041189
Accuracy: 0.6729913232077679
precision recall f1-score support
0 0.79 0.62 0.70 30231476
1 0.57 0.75 0.65 19809713
accuracy 0.67 50041189
macro avg 0.68 0.69 0.67 50041189
weighted avg 0.70 0.67 0.68 50041189
Accuracy: 0.6729913232077679
LR_3_log_0.1
precision recall f1-score support
0 0.83 0.64 0.73 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.71 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.71 0.71 48245967
Accuracy: 0.7053253798395211
precision recall f1-score support
0 0.83 0.64 0.73 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.71 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.71 0.71 48245967
Accuracy: 0.7053253798395211
LR_3_log_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.81 0.69 17762125
accuracy 0.72 46162418
macro avg 0.72 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7193616677531927
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.81 0.69 17762125
accuracy 0.72 46162418
macro avg 0.72 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7193616677531927
LR_3_log_0.4
precision recall f1-score support
0 0.88 0.69 0.77 26121772
1 0.59 0.83 0.69 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.73 40627722
weighted avg 0.78 0.74 0.74 40627722
Accuracy: 0.7374562620075031
precision recall f1-score support
0 0.88 0.69 0.77 26121772
1 0.59 0.83 0.69 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.73 40627722
weighted avg 0.78 0.74 0.74 40627722
Accuracy: 0.7374562620075031
LR_3_log_All
precision recall f1-score support
0 0.69 0.55 0.61 144486817
1 0.46 0.61 0.52 90948310
accuracy 0.57 235435127
macro avg 0.57 0.58 0.57 235435127
weighted avg 0.60 0.57 0.58 235435127
Accuracy: 0.570340622960651
precision recall f1-score support
0 0.69 0.55 0.61 144486817
1 0.46 0.61 0.52 90948310
accuracy 0.57 235435127
macro avg 0.57 0.58 0.57 235435127
weighted avg 0.60 0.57 0.58 235435127
Accuracy: 0.570340622960651
LR_3_mean_0.001
precision recall f1-score support
0 0.76 0.64 0.70 30469299
1 0.56 0.69 0.62 19888532
accuracy 0.66 50357831
macro avg 0.66 0.67 0.66 50357831
weighted avg 0.68 0.66 0.67 50357831
Accuracy: 0.6620727370088676
precision recall f1-score support
0 0.76 0.64 0.70 30469299
1 0.56 0.69 0.62 19888532
accuracy 0.66 50357831
macro avg 0.66 0.67 0.66 50357831
weighted avg 0.68 0.66 0.67 50357831
Accuracy: 0.6620727370088676
LR_3_mean_0.01
precision recall f1-score support
0 0.80 0.61 0.69 30231476
1 0.56 0.76 0.65 19809713
accuracy 0.67 50041189
macro avg 0.68 0.68 0.67 50041189
weighted avg 0.70 0.67 0.67 50041189
Accuracy: 0.6690288873831515
precision recall f1-score support
0 0.80 0.61 0.69 30231476
1 0.56 0.76 0.65 19809713
accuracy 0.67 50041189
macro avg 0.68 0.68 0.67 50041189
weighted avg 0.70 0.67 0.67 50041189
Accuracy: 0.6690288873831515
LR_3_mean_0.1
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.704026950066106
precision recall f1-score support
0 0.83 0.64 0.72 29263977
1 0.59 0.80 0.68 18981990
accuracy 0.70 48245967
macro avg 0.71 0.72 0.70 48245967
weighted avg 0.74 0.70 0.71 48245967
Accuracy: 0.704026950066106
LR_3_mean_0.2
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7203059207167181
precision recall f1-score support
0 0.85 0.66 0.74 28400293
1 0.60 0.82 0.69 17762125
accuracy 0.72 46162418
macro avg 0.73 0.74 0.72 46162418
weighted avg 0.75 0.72 0.72 46162418
Accuracy: 0.7203059207167181
LR_3_mean_0.4
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.7423466912567729
precision recall f1-score support
0 0.89 0.69 0.77 26121772
1 0.60 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.74 40627722
weighted avg 0.78 0.74 0.75 40627722
Accuracy: 0.7423466912567729
LR_3_mean_All
precision recall f1-score support
0 0.65 0.52 0.58 144486817
1 0.42 0.55 0.48 90948310
accuracy 0.53 235435127
macro avg 0.54 0.54 0.53 235435127
weighted avg 0.56 0.53 0.54 235435127
Accuracy: 0.5348694844503811
precision recall f1-score support
0 0.65 0.52 0.58 144486817
1 0.42 0.55 0.48 90948310
accuracy 0.53 235435127
macro avg 0.54 0.54 0.53 235435127
weighted avg 0.56 0.53 0.54 235435127
Accuracy: 0.5348694844503811
LR_4_0.001
precision recall f1-score support
0 0.86 0.68 0.76 30469299
1 0.63 0.83 0.72 19888532
accuracy 0.74 50357831
macro avg 0.74 0.76 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7388880787975162
precision recall f1-score support
0 0.86 0.68 0.76 30469299
1 0.63 0.83 0.72 19888532
accuracy 0.74 50357831
macro avg 0.74 0.76 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7388880787975162
LR_4_0.01
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.7441577777058814
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.7441577777058814
LR_4_0.1
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.7597472551436268
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.7597472551436268
LR_4_0.2
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7725367852264584
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7725367852264584
LR_4_0.4
precision recall f1-score support
0 0.87 0.75 0.81 26121772
1 0.64 0.80 0.72 14505950
accuracy 0.77 40627722
macro avg 0.76 0.78 0.76 40627722
weighted avg 0.79 0.77 0.78 40627722
Accuracy: 0.7714900924053778
precision recall f1-score support
0 0.87 0.75 0.81 26121772
1 0.64 0.80 0.72 14505950
accuracy 0.77 40627722
macro avg 0.76 0.78 0.76 40627722
weighted avg 0.79 0.77 0.78 40627722
Accuracy: 0.7714900924053778
LR_4_All
precision recall f1-score support
0 0.74 0.50 0.60 144486817
1 0.48 0.72 0.57 90948310
accuracy 0.59 235435127
macro avg 0.61 0.61 0.59 235435127
weighted avg 0.64 0.59 0.59 235435127
Accuracy: 0.5873982475011046
precision recall f1-score support
0 0.74 0.50 0.60 144486817
1 0.48 0.72 0.57 90948310
accuracy 0.59 235435127
macro avg 0.61 0.61 0.59 235435127
weighted avg 0.64 0.59 0.59 235435127
Accuracy: 0.5873982475011046
LR_4_log_0.001
precision recall f1-score support
0 0.84 0.73 0.78 30469299
1 0.65 0.79 0.71 19888532
accuracy 0.75 50357831
macro avg 0.75 0.76 0.75 50357831
weighted avg 0.77 0.75 0.75 50357831
Accuracy: 0.7514317088041381
precision recall f1-score support
0 0.84 0.73 0.78 30469299
1 0.65 0.79 0.71 19888532
accuracy 0.75 50357831
macro avg 0.75 0.76 0.75 50357831
weighted avg 0.77 0.75 0.75 50357831
Accuracy: 0.7514317088041381
LR_4_log_0.01
precision recall f1-score support
0 0.85 0.73 0.78 30231476
1 0.66 0.80 0.72 19809713
accuracy 0.76 50041189
macro avg 0.75 0.76 0.75 50041189
weighted avg 0.77 0.76 0.76 50041189
Accuracy: 0.7556142600848273
precision recall f1-score support
0 0.85 0.73 0.78 30231476
1 0.66 0.80 0.72 19809713
accuracy 0.76 50041189
macro avg 0.75 0.76 0.75 50041189
weighted avg 0.77 0.76 0.76 50041189
Accuracy: 0.7556142600848273
LR_4_log_0.1
precision recall f1-score support
0 0.86 0.72 0.79 29263977
1 0.66 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.77 48245967
Accuracy: 0.7633229529838215
precision recall f1-score support
0 0.86 0.72 0.79 29263977
1 0.66 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.77 48245967
Accuracy: 0.7633229529838215
LR_4_log_0.2
precision recall f1-score support
0 0.87 0.72 0.79 28400293
1 0.65 0.83 0.73 17762125
accuracy 0.76 46162418
macro avg 0.76 0.78 0.76 46162418
weighted avg 0.79 0.76 0.77 46162418
Accuracy: 0.7624388306522418
precision recall f1-score support
0 0.87 0.72 0.79 28400293
1 0.65 0.83 0.73 17762125
accuracy 0.76 46162418
macro avg 0.76 0.78 0.76 46162418
weighted avg 0.79 0.76 0.77 46162418
Accuracy: 0.7624388306522418
LR_4_log_0.4
precision recall f1-score support
0 0.88 0.71 0.79 26121772
1 0.61 0.83 0.71 14505950
accuracy 0.75 40627722
macro avg 0.75 0.77 0.75 40627722
weighted avg 0.79 0.75 0.76 40627722
Accuracy: 0.7531053303948472
precision recall f1-score support
0 0.88 0.71 0.79 26121772
1 0.61 0.83 0.71 14505950
accuracy 0.75 40627722
macro avg 0.75 0.77 0.75 40627722
weighted avg 0.79 0.75 0.76 40627722
Accuracy: 0.7531053303948472
LR_4_log_All
precision recall f1-score support
0 0.76 0.66 0.71 144486817
1 0.55 0.67 0.61 90948310
accuracy 0.66 235435127
macro avg 0.66 0.67 0.66 235435127
weighted avg 0.68 0.66 0.67 235435127
Accuracy: 0.6641819723018647
precision recall f1-score support
0 0.76 0.66 0.71 144486817
1 0.55 0.67 0.61 90948310
accuracy 0.66 235435127
macro avg 0.66 0.67 0.66 235435127
weighted avg 0.68 0.66 0.67 235435127
Accuracy: 0.6641819723018647
LR_4_mean_0.001
precision recall f1-score support
0 0.87 0.71 0.78 30469299
1 0.65 0.83 0.73 19888532
accuracy 0.76 50357831
macro avg 0.76 0.77 0.76 50357831
weighted avg 0.78 0.76 0.76 50357831
Accuracy: 0.7589966096832089
precision recall f1-score support
0 0.87 0.71 0.78 30469299
1 0.65 0.83 0.73 19888532
accuracy 0.76 50357831
macro avg 0.76 0.77 0.76 50357831
weighted avg 0.78 0.76 0.76 50357831
Accuracy: 0.7589966096832089
LR_4_mean_0.01
precision recall f1-score support
0 0.83 0.67 0.74 30231476
1 0.61 0.80 0.69 19809713
accuracy 0.72 50041189
macro avg 0.72 0.73 0.72 50041189
weighted avg 0.75 0.72 0.72 50041189
Accuracy: 0.7192444607980838
precision recall f1-score support
0 0.83 0.67 0.74 30231476
1 0.61 0.80 0.69 19809713
accuracy 0.72 50041189
macro avg 0.72 0.73 0.72 50041189
weighted avg 0.75 0.72 0.72 50041189
Accuracy: 0.7192444607980838
LR_4_mean_0.1
precision recall f1-score support
0 0.86 0.66 0.74 29263977
1 0.61 0.83 0.71 18981990
accuracy 0.73 48245967
macro avg 0.74 0.75 0.72 48245967
weighted avg 0.76 0.73 0.73 48245967
Accuracy: 0.7260401890172499
precision recall f1-score support
0 0.86 0.66 0.74 29263977
1 0.61 0.83 0.71 18981990
accuracy 0.73 48245967
macro avg 0.74 0.75 0.72 48245967
weighted avg 0.76 0.73 0.73 48245967
Accuracy: 0.7260401890172499
LR_4_mean_0.2
precision recall f1-score support
0 0.88 0.67 0.76 28400293
1 0.62 0.85 0.71 17762125
accuracy 0.74 46162418
macro avg 0.75 0.76 0.74 46162418
weighted avg 0.78 0.74 0.74 46162418
Accuracy: 0.7395020555465703
precision recall f1-score support
0 0.88 0.67 0.76 28400293
1 0.62 0.85 0.71 17762125
accuracy 0.74 46162418
macro avg 0.75 0.76 0.74 46162418
weighted avg 0.78 0.74 0.74 46162418
Accuracy: 0.7395020555465703
LR_4_mean_0.4
precision recall f1-score support
0 0.89 0.68 0.77 26121772
1 0.59 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.73 40627722
weighted avg 0.78 0.74 0.74 40627722
Accuracy: 0.7376153159657831
precision recall f1-score support
0 0.89 0.68 0.77 26121772
1 0.59 0.84 0.70 14505950
accuracy 0.74 40627722
macro avg 0.74 0.76 0.73 40627722
weighted avg 0.78 0.74 0.74 40627722
Accuracy: 0.7376153159657831
LR_4_mean_All
precision recall f1-score support
0 0.72 0.55 0.62 144486817
1 0.48 0.65 0.55 90948310
accuracy 0.59 235435127
macro avg 0.60 0.60 0.59 235435127
weighted avg 0.62 0.59 0.59 235435127
Accuracy: 0.5895498168376548
precision recall f1-score support
0 0.72 0.55 0.62 144486817
1 0.48 0.65 0.55 90948310
accuracy 0.59 235435127
macro avg 0.60 0.60 0.59 235435127
weighted avg 0.62 0.59 0.59 235435127
Accuracy: 0.5895498168376548
LR_4_robust_scaler_0.001
precision recall f1-score support
0 0.86 0.68 0.76 30469299
1 0.63 0.83 0.72 19888532
accuracy 0.74 50357831
macro avg 0.74 0.76 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7388760250615242
precision recall f1-score support
0 0.86 0.68 0.76 30469299
1 0.63 0.83 0.72 19888532
accuracy 0.74 50357831
macro avg 0.74 0.76 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7388760250615242
LR_4_robust_scaler_0.01
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.7441431897231698
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.7441431897231698
LR_4_robust_scaler_0.1
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.7597623652148997
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.7597623652148997
LR_4_robust_scaler_0.2
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7725374784310475
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7725374784310475
LR_4_robust_scaler_0.4
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.65 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7776418032987427
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.65 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7776418032987427
LR_4_robust_scaler_All
precision recall f1-score support
0 0.74 0.50 0.60 144486817
1 0.48 0.72 0.57 90948310
accuracy 0.59 235435127
macro avg 0.61 0.61 0.59 235435127
weighted avg 0.64 0.59 0.59 235435127
Accuracy: 0.5873854584154725
precision recall f1-score support
0 0.74 0.50 0.60 144486817
1 0.48 0.72 0.57 90948310
accuracy 0.59 235435127
macro avg 0.61 0.61 0.59 235435127
weighted avg 0.64 0.59 0.59 235435127
Accuracy: 0.5873854584154725
LR_4_std_scaler_0.001
precision recall f1-score support
0 0.86 0.68 0.76 30469299
1 0.63 0.83 0.72 19888532
accuracy 0.74 50357831
macro avg 0.74 0.76 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7389132188795026
precision recall f1-score support
0 0.86 0.68 0.76 30469299
1 0.63 0.83 0.72 19888532
accuracy 0.74 50357831
macro avg 0.74 0.76 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7389132188795026
LR_4_std_scaler_0.01
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.7441570183314389
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.7441570183314389
LR_4_std_scaler_0.1
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.7597217815118101
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.7597217815118101
LR_4_std_scaler_0.2
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7726121928881629
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7726121928881629
LR_4_std_scaler_0.4
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7778286461643111
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7778286461643111
LR_4_std_scaler_All
precision recall f1-score support
0 0.74 0.50 0.60 144486817
1 0.48 0.72 0.57 90948310
accuracy 0.59 235435127
macro avg 0.61 0.61 0.59 235435127
weighted avg 0.64 0.59 0.59 235435127
Accuracy: 0.5872314117340698
precision recall f1-score support
0 0.74 0.50 0.60 144486817
1 0.48 0.72 0.57 90948310
accuracy 0.59 235435127
macro avg 0.61 0.61 0.59 235435127
weighted avg 0.64 0.59 0.59 235435127
Accuracy: 0.5872314117340698
LR_5_0.001
precision recall f1-score support
0 0.86 0.68 0.76 30469299
1 0.63 0.83 0.72 19888532
accuracy 0.74 50357831
macro avg 0.74 0.75 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7382249048812289
precision recall f1-score support
0 0.86 0.68 0.76 30469299
1 0.63 0.83 0.72 19888532
accuracy 0.74 50357831
macro avg 0.74 0.75 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7382249048812289
LR_5_0.01
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.7441325384974365
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.7441325384974365
LR_5_0.1
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.7597230873204386
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.7597230873204386
LR_5_0.2
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7726382963734698
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7726382963734698
LR_5_0.4
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7777381414591741
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7777381414591741
LR_5_All
precision recall f1-score support
0 0.74 0.50 0.60 144486817
1 0.48 0.72 0.57 90948310
accuracy 0.59 235435127
macro avg 0.61 0.61 0.59 235435127
weighted avg 0.64 0.59 0.59 235435127
Accuracy: 0.5873703374772958
precision recall f1-score support
0 0.74 0.50 0.60 144486817
1 0.48 0.72 0.57 90948310
accuracy 0.59 235435127
macro avg 0.61 0.61 0.59 235435127
weighted avg 0.64 0.59 0.59 235435127
Accuracy: 0.5873703374772958
LR_5_imba_0.001
precision recall f1-score support
0 0.81 0.78 0.79 30469299
1 0.68 0.71 0.70 19888532
accuracy 0.75 50357831
macro avg 0.74 0.75 0.74 50357831
weighted avg 0.76 0.75 0.75 50357831
Accuracy: 0.7540126182162215
precision recall f1-score support
0 0.81 0.78 0.79 30469299
1 0.68 0.71 0.70 19888532
accuracy 0.75 50357831
macro avg 0.74 0.75 0.74 50357831
weighted avg 0.76 0.75 0.75 50357831
Accuracy: 0.7540126182162215
LR_5_imba_0.01
precision recall f1-score support
0 0.81 0.79 0.80 30231476
1 0.69 0.71 0.70 19809713
accuracy 0.76 50041189
macro avg 0.75 0.75 0.75 50041189
weighted avg 0.76 0.76 0.76 50041189
Accuracy: 0.7600381158009655
precision recall f1-score support
0 0.81 0.79 0.80 30231476
1 0.69 0.71 0.70 19809713
accuracy 0.76 50041189
macro avg 0.75 0.75 0.75 50041189
weighted avg 0.76 0.76 0.76 50041189
Accuracy: 0.7600381158009655
LR_5_imba_0.1
precision recall f1-score support
0 0.81 0.82 0.81 29263977
1 0.72 0.70 0.71 18981990
accuracy 0.77 48245967
macro avg 0.76 0.76 0.76 48245967
weighted avg 0.77 0.77 0.77 48245967
Accuracy: 0.7730094828444417
precision recall f1-score support
0 0.81 0.82 0.81 29263977
1 0.72 0.70 0.71 18981990
accuracy 0.77 48245967
macro avg 0.76 0.76 0.76 48245967
weighted avg 0.77 0.77 0.77 48245967
Accuracy: 0.7730094828444417
LR_5_imba_0.2
precision recall f1-score support
0 0.81 0.83 0.82 28400293
1 0.72 0.68 0.70 17762125
accuracy 0.77 46162418
macro avg 0.76 0.76 0.76 46162418
weighted avg 0.77 0.77 0.77 46162418
Accuracy: 0.7742529864878396
precision recall f1-score support
0 0.81 0.83 0.82 28400293
1 0.72 0.68 0.70 17762125
accuracy 0.77 46162418
macro avg 0.76 0.76 0.76 46162418
weighted avg 0.77 0.77 0.77 46162418
Accuracy: 0.7742529864878396
LR_5_imba_0.4
precision recall f1-score support
0 0.81 0.86 0.83 26121772
1 0.72 0.64 0.68 14505950
accuracy 0.78 40627722
macro avg 0.76 0.75 0.76 40627722
weighted avg 0.78 0.78 0.78 40627722
Accuracy: 0.7811903163066835
precision recall f1-score support
0 0.81 0.86 0.83 26121772
1 0.72 0.64 0.68 14505950
accuracy 0.78 40627722
macro avg 0.76 0.75 0.76 40627722
weighted avg 0.78 0.78 0.78 40627722
Accuracy: 0.7811903163066835
LR_5_imba_All
precision recall f1-score support
0 0.64 0.93 0.76 144486817
1 0.61 0.17 0.27 90948310
accuracy 0.64 235435127
macro avg 0.62 0.55 0.51 235435127
weighted avg 0.63 0.64 0.57 235435127
Accuracy: 0.6376296685753269
precision recall f1-score support
0 0.64 0.93 0.76 144486817
1 0.61 0.17 0.27 90948310
accuracy 0.64 235435127
macro avg 0.62 0.55 0.51 235435127
weighted avg 0.63 0.64 0.57 235435127
Accuracy: 0.6376296685753269
LR_6_0.001
precision recall f1-score support
0 0.86 0.68 0.76 30469299
1 0.63 0.83 0.72 19888532
accuracy 0.74 50357831
macro avg 0.74 0.75 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7382218666248751
precision recall f1-score support
0 0.86 0.68 0.76 30469299
1 0.63 0.83 0.72 19888532
accuracy 0.74 50357831
macro avg 0.74 0.75 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7382218666248751
LR_6_0.01
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.744151862578645
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.744151862578645
LR_6_0.1
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.759735938135513
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.759735938135513
LR_6_0.2
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7725369801902491
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7725369801902491
LR_6_0.4
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.65 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7776248198213033
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.65 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7776248198213033
LR_6_All
precision recall f1-score support
0 0.74 0.50 0.60 144486817
1 0.48 0.72 0.57 90948310
accuracy 0.59 235435127
macro avg 0.61 0.61 0.59 235435127
weighted avg 0.64 0.59 0.59 235435127
Accuracy: 0.5873487434183939
precision recall f1-score support
0 0.74 0.50 0.60 144486817
1 0.48 0.72 0.57 90948310
accuracy 0.59 235435127
macro avg 0.61 0.61 0.59 235435127
weighted avg 0.64 0.59 0.59 235435127
Accuracy: 0.5873487434183939
LR_6_imba_0.001
precision recall f1-score support
0 0.81 0.78 0.79 30469299
1 0.68 0.71 0.70 19888532
accuracy 0.75 50357831
macro avg 0.74 0.75 0.74 50357831
weighted avg 0.76 0.75 0.75 50357831
Accuracy: 0.7540076934608244
precision recall f1-score support
0 0.81 0.78 0.79 30469299
1 0.68 0.71 0.70 19888532
accuracy 0.75 50357831
macro avg 0.74 0.75 0.74 50357831
weighted avg 0.76 0.75 0.75 50357831
Accuracy: 0.7540076934608244
LR_6_imba_0.01
precision recall f1-score support
0 0.81 0.79 0.80 30231476
1 0.69 0.71 0.70 19809713
accuracy 0.76 50041189
macro avg 0.75 0.75 0.75 50041189
weighted avg 0.76 0.76 0.76 50041189
Accuracy: 0.7600415130024188
precision recall f1-score support
0 0.81 0.79 0.80 30231476
1 0.69 0.71 0.70 19809713
accuracy 0.76 50041189
macro avg 0.75 0.75 0.75 50041189
weighted avg 0.76 0.76 0.76 50041189
Accuracy: 0.7600415130024188
LR_6_imba_0.1
precision recall f1-score support
0 0.81 0.82 0.81 29263977
1 0.72 0.70 0.71 18981990
accuracy 0.77 48245967
macro avg 0.76 0.76 0.76 48245967
weighted avg 0.77 0.77 0.77 48245967
Accuracy: 0.7730505847255585
precision recall f1-score support
0 0.81 0.82 0.81 29263977
1 0.72 0.70 0.71 18981990
accuracy 0.77 48245967
macro avg 0.76 0.76 0.76 48245967
weighted avg 0.77 0.77 0.77 48245967
Accuracy: 0.7730505847255585
LR_6_imba_0.2
precision recall f1-score support
0 0.81 0.83 0.82 28400293
1 0.72 0.68 0.70 17762125
accuracy 0.77 46162418
macro avg 0.76 0.76 0.76 46162418
weighted avg 0.77 0.77 0.77 46162418
Accuracy: 0.7744190523122078
precision recall f1-score support
0 0.81 0.83 0.82 28400293
1 0.72 0.68 0.70 17762125
accuracy 0.77 46162418
macro avg 0.76 0.76 0.76 46162418
weighted avg 0.77 0.77 0.77 46162418
Accuracy: 0.7744190523122078
LR_6_imba_0.4
precision recall f1-score support
0 0.81 0.86 0.83 26121772
1 0.72 0.64 0.68 14505950
accuracy 0.78 40627722
macro avg 0.76 0.75 0.76 40627722
weighted avg 0.78 0.78 0.78 40627722
Accuracy: 0.7814035450966215
precision recall f1-score support
0 0.81 0.86 0.83 26121772
1 0.72 0.64 0.68 14505950
accuracy 0.78 40627722
macro avg 0.76 0.75 0.76 40627722
weighted avg 0.78 0.78 0.78 40627722
Accuracy: 0.7814035450966215
LR_6_imba_All
precision recall f1-score support
0 0.64 0.93 0.76 144486817
1 0.61 0.17 0.27 90948310
accuracy 0.64 235435127
macro avg 0.62 0.55 0.51 235435127
weighted avg 0.63 0.64 0.57 235435127
Accuracy: 0.6376264787369643
precision recall f1-score support
0 0.64 0.93 0.76 144486817
1 0.61 0.17 0.27 90948310
accuracy 0.64 235435127
macro avg 0.62 0.55 0.51 235435127
weighted avg 0.63 0.64 0.57 235435127
Accuracy: 0.6376264787369643
LR_7_0.001
precision recall f1-score support
0 0.87 0.67 0.76 30469299
1 0.63 0.84 0.72 19888532
accuracy 0.74 50357831
macro avg 0.75 0.76 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7383836885270137
precision recall f1-score support
0 0.87 0.67 0.76 30469299
1 0.63 0.84 0.72 19888532
accuracy 0.74 50357831
macro avg 0.75 0.76 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7383836885270137
LR_7_0.01
precision recall f1-score support
0 0.87 0.69 0.77 30231476
1 0.64 0.84 0.73 19809713
accuracy 0.75 50041189
macro avg 0.75 0.77 0.75 50041189
weighted avg 0.78 0.75 0.75 50041189
Accuracy: 0.748779750217366
precision recall f1-score support
0 0.87 0.69 0.77 30231476
1 0.64 0.84 0.73 19809713
accuracy 0.75 50041189
macro avg 0.75 0.77 0.75 50041189
weighted avg 0.78 0.75 0.75 50041189
Accuracy: 0.748779750217366
LR_7_0.1
precision recall f1-score support
0 0.88 0.70 0.78 29263977
1 0.65 0.86 0.74 18981990
accuracy 0.76 48245967
macro avg 0.77 0.78 0.76 48245967
weighted avg 0.79 0.76 0.76 48245967
Accuracy: 0.7616268733923397
precision recall f1-score support
0 0.88 0.70 0.78 29263977
1 0.65 0.86 0.74 18981990
accuracy 0.76 48245967
macro avg 0.77 0.78 0.76 48245967
weighted avg 0.79 0.76 0.76 48245967
Accuracy: 0.7616268733923397
LR_7_0.2
precision recall f1-score support
0 0.89 0.70 0.78 28400293
1 0.64 0.86 0.73 17762125
accuracy 0.76 46162418
macro avg 0.76 0.78 0.76 46162418
weighted avg 0.79 0.76 0.76 46162418
Accuracy: 0.7605276006122557
precision recall f1-score support
0 0.89 0.70 0.78 28400293
1 0.64 0.86 0.73 17762125
accuracy 0.76 46162418
macro avg 0.76 0.78 0.76 46162418
weighted avg 0.79 0.76 0.76 46162418
Accuracy: 0.7605276006122557
LR_7_0.4
precision recall f1-score support
0 0.89 0.69 0.78 26121772
1 0.60 0.85 0.71 14505950
accuracy 0.75 40627722
macro avg 0.75 0.77 0.74 40627722
weighted avg 0.79 0.75 0.75 40627722
Accuracy: 0.7474215758392755
precision recall f1-score support
0 0.89 0.69 0.78 26121772
1 0.60 0.85 0.71 14505950
accuracy 0.75 40627722
macro avg 0.75 0.77 0.74 40627722
weighted avg 0.79 0.75 0.75 40627722
Accuracy: 0.7474215758392755
LR_7_All
precision recall f1-score support
0 0.71 0.32 0.44 144486817
1 0.42 0.79 0.55 90948310
accuracy 0.50 235435127
macro avg 0.57 0.56 0.50 235435127
weighted avg 0.60 0.50 0.49 235435127
Accuracy: 0.5032463571164553
precision recall f1-score support
0 0.71 0.32 0.44 144486817
1 0.42 0.79 0.55 90948310
accuracy 0.50 235435127
macro avg 0.57 0.56 0.50 235435127
weighted avg 0.60 0.50 0.49 235435127
Accuracy: 0.5034408310702081
LR_8_0.001
precision recall f1-score support
0 0.86 0.67 0.75 30469299
1 0.62 0.83 0.71 19888532
accuracy 0.74 50357831
macro avg 0.74 0.75 0.73 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.73530065264328
precision recall f1-score support
0 0.86 0.67 0.75 30469299
1 0.62 0.83 0.71 19888532
accuracy 0.74 50357831
macro avg 0.74 0.75 0.73 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.73530065264328
LR_8_0.01
precision recall f1-score support
0 0.87 0.69 0.77 30231476
1 0.64 0.84 0.73 19809713
accuracy 0.75 50041189
macro avg 0.75 0.77 0.75 50041189
weighted avg 0.78 0.75 0.75 50041189
Accuracy: 0.748819277655453
precision recall f1-score support
0 0.87 0.69 0.77 30231476
1 0.64 0.84 0.73 19809713
accuracy 0.75 50041189
macro avg 0.75 0.77 0.75 50041189
weighted avg 0.78 0.75 0.75 50041189
Accuracy: 0.748819277655453
LR_8_0.1
precision recall f1-score support
0 0.88 0.70 0.78 29263977
1 0.65 0.86 0.74 18981990
accuracy 0.76 48245967
macro avg 0.77 0.78 0.76 48245967
weighted avg 0.79 0.76 0.76 48245967
Accuracy: 0.7610481307173302
precision recall f1-score support
0 0.88 0.70 0.78 29263977
1 0.65 0.86 0.74 18981990
accuracy 0.76 48245967
macro avg 0.77 0.78 0.76 48245967
weighted avg 0.79 0.76 0.76 48245967
Accuracy: 0.7610481307173302
LR_8_0.2
precision recall f1-score support
0 0.89 0.70 0.78 28400293
1 0.64 0.86 0.73 17762125
accuracy 0.76 46162418
macro avg 0.76 0.78 0.76 46162418
weighted avg 0.79 0.76 0.76 46162418
Accuracy: 0.7600604023818683
precision recall f1-score support
0 0.89 0.70 0.78 28400293
1 0.64 0.86 0.73 17762125
accuracy 0.76 46162418
macro avg 0.76 0.78 0.76 46162418
weighted avg 0.79 0.76 0.76 46162418
Accuracy: 0.7600604023818683
LR_8_0.4
precision recall f1-score support
0 0.89 0.69 0.78 26121772
1 0.60 0.85 0.71 14505950
accuracy 0.75 40627722
macro avg 0.75 0.77 0.74 40627722
weighted avg 0.79 0.75 0.75 40627722
Accuracy: 0.7474707540826434
precision recall f1-score support
0 0.89 0.69 0.78 26121772
1 0.60 0.85 0.71 14505950
accuracy 0.75 40627722
macro avg 0.75 0.77 0.74 40627722
weighted avg 0.79 0.75 0.75 40627722
Accuracy: 0.7474707540826434
LR_8_All
precision recall f1-score support
0 0.71 0.34 0.46 144486817
1 0.43 0.78 0.55 90948310
accuracy 0.51 235435127
macro avg 0.57 0.56 0.50 235435127
weighted avg 0.60 0.51 0.49 235435127
Accuracy: 0.5086445150557334
precision recall f1-score support
0 0.71 0.34 0.46 144486817
1 0.43 0.78 0.55 90948310
accuracy 0.51 235435127
macro avg 0.57 0.56 0.50 235435127
weighted avg 0.60 0.51 0.49 235435127
Accuracy: 0.5086445150557334
LR_9_0.001
precision recall f1-score support
0 0.87 0.67 0.76 30469299
1 0.63 0.84 0.72 19888532
accuracy 0.74 50357831
macro avg 0.75 0.76 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7390812364416569
precision recall f1-score support
0 0.87 0.67 0.76 30469299
1 0.63 0.84 0.72 19888532
accuracy 0.74 50357831
macro avg 0.75 0.76 0.74 50357831
weighted avg 0.77 0.74 0.74 50357831
Accuracy: 0.7390812364416569
LR_9_0.01
precision recall f1-score support
0 0.87 0.68 0.77 30231476
1 0.64 0.85 0.73 19809713
accuracy 0.75 50041189
macro avg 0.75 0.77 0.75 50041189
weighted avg 0.78 0.75 0.75 50041189
Accuracy: 0.7483692483805691
precision recall f1-score support
0 0.87 0.68 0.77 30231476
1 0.64 0.85 0.73 19809713
accuracy 0.75 50041189
macro avg 0.75 0.77 0.75 50041189
weighted avg 0.78 0.75 0.75 50041189
Accuracy: 0.7483692483805691
LR_9_0.1
precision recall f1-score support
0 0.88 0.70 0.78 29263977
1 0.65 0.86 0.74 18981990
accuracy 0.76 48245967
macro avg 0.77 0.78 0.76 48245967
weighted avg 0.79 0.76 0.76 48245967
Accuracy: 0.7608571095693863
precision recall f1-score support
0 0.88 0.70 0.78 29263977
1 0.65 0.86 0.74 18981990
accuracy 0.76 48245967
macro avg 0.77 0.78 0.76 48245967
weighted avg 0.79 0.76 0.76 48245967
Accuracy: 0.7608571095693863
LR_9_0.2
precision recall f1-score support
0 0.89 0.70 0.78 28400293
1 0.64 0.86 0.73 17762125
accuracy 0.76 46162418
macro avg 0.76 0.78 0.76 46162418
weighted avg 0.79 0.76 0.76 46162418
Accuracy: 0.7598907622213377
precision recall f1-score support
0 0.89 0.70 0.78 28400293
1 0.64 0.86 0.73 17762125
accuracy 0.76 46162418
macro avg 0.76 0.78 0.76 46162418
weighted avg 0.79 0.76 0.76 46162418
Accuracy: 0.7598907622213377
LR_9_0.4
precision recall f1-score support
0 0.89 0.69 0.78 26121772
1 0.60 0.85 0.71 14505950
accuracy 0.75 40627722
macro avg 0.75 0.77 0.74 40627722
weighted avg 0.79 0.75 0.75 40627722
Accuracy: 0.7474161362037478
precision recall f1-score support
0 0.89 0.69 0.78 26121772
1 0.60 0.85 0.71 14505950
accuracy 0.75 40627722
macro avg 0.75 0.77 0.74 40627722
weighted avg 0.79 0.75 0.75 40627722
Accuracy: 0.7474161362037478
LR_9_All
precision recall f1-score support
0 0.71 0.34 0.46 144486817
1 0.43 0.78 0.55 90948310
accuracy 0.51 235435127
macro avg 0.57 0.56 0.50 235435127
weighted avg 0.60 0.51 0.49 235435127
Accuracy: 0.5085327262995891
precision recall f1-score support
0 0.71 0.34 0.46 144486817
1 0.43 0.78 0.55 90948310
accuracy 0.51 235435127
macro avg 0.57 0.56 0.50 235435127
weighted avg 0.60 0.51 0.49 235435127
Accuracy: 0.5085327262995891
Model Metrics
True Positives
True Negatives
False Positives
False Negatives
Individual Workload Result
zipf_1_15
0.001
0.01
0.1
0.2
0.4
Ignore Obj Size
0.001
0.01
0.1
0.2
0.4
zipf_1_16
0.001
0.01
0.1
0.2
0.4
Ignore Obj Size
0.001
0.01
0.1
0.2
0.4
zipf_1_17
0.001
0.01
0.1
0.2
0.4
Ignore Obj Size
0.001
0.01
0.1
0.2
0.4
zipf_1_18
0.001
0.01
0.1
0.2
0.4
Ignore Obj Size
0.001
0.01
0.1
0.2
0.4
zipf_1_19
0.001
0.01
0.1
0.2
0.4
Ignore Obj Size
0.001
0.01
0.1
0.2
0.4